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This file contains ambiguous Unicode characters
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This is DevIL_manual.info, produced by makeinfo version 4.11 from
DevIL_manual.texi.
This is `DevIL 1.7.8' manual. Last update is from 8 March 2009.
Copyright (C) 2008,2009 Denton Woods, Matěj Týč
Permission is granted to copy, distribute and/or modify this
document under the terms of the GNU Free Documentation License, Version
1.3 or any later version published by the Free Software Foundation;
with no Invariant Sections, no Front-Cover Texts, and no Back-Cover
Texts. A copy of the license is included in the section entitled "GNU
Free Documentation License".

File: DevIL_manual.info, Node: Top, Next: Introduction, Up: (dir)
IL manual
*********
This is a manual describing IL part of `DevIL' - handling images.
* Menu:
* Introduction:: General intro
* Basic usage:: How to write your first code
* Image management:: How to manage images :-)
* Error handling:: If you encounter an error...
* Image manipulation:: How to manipulate with images using ILU
* Common #defines:: #defines you are likely to come across when using DevIL
* Sample program:: If you want to get going quickly
* Functions index:: Index of IL and ILU functions

File: DevIL_manual.info, Node: Introduction, Next: Basic usage, Prev: Top, Up: Top
1 Introduction
**************
1.1 General introduction
========================
Developer's Image Library was previously called OpenIL, but due to
trademark issues, `OpenIL' is now known as `DevIL'.
`DevIL' is an Open Source programming library for programmers to
incorporate into their own programs. `DevIL' loads and saves a large
variety of images for use in a software developer's program. This
library is capable of manipulating images in various ways and passing
image information to display APIs, such as OpenGL and Direct3D.
The purpose of this manual is to guide users in coding with the
Developer's Image Library. This manual is for users proficient in C
and with competent knowledge of the integrated development environment
(IDE) or compiler they are using.
1.2 Library Reference
=====================
Several times throughout this document, the three different
sub-libraries of `DevIL' are referenced as IL, ILU and ILUT. IL refers
to the base library for loading, saving and converting images. ILU
refers to the middle level library for image manipulation. ILUT refers
to the high level library for displaying images. Functions in IL, ILU
and ILUT are prefixed by ‘il', ‘ilu' and ‘ilut', respectively.
2 Library setup
***************
2.1 Microsoft Visual C++ setup
==============================
`DevIL' setup for Windows is straightforward. Unzip `DevIL' in an
empty directory. If using WinZip, check the "Use folder names" box
before unzipping. Use the -d command line option if using pkunzip.
Then double-click on the ImageLib.sln file in the install directory to
load the `DevIL' workspace in Microsoft Visual C++ (MSVC++).
2.1.1 Directories
-----------------
You will need to change some directory settings in MSVC++ to get
`DevIL' working.
1. Navigate to the Tools menu and select Options.
2. Click on the Directories tab.
3. Under Show directories for, select "Include files".
4. Click the New button (to the left of the red 'X')
5. Type the directory `DevIL' is installed in, plus `\Include'.
For example, if you installed `DevIL' to E:\ImageLib, enter
`E:\ImageLib\Include'. [image src="images/devil_msvc_include.png"]
6. Under Show directories for, click on "Library files".
7. Click the New button (to the left of the red 'X').
8. Type the directory `DevIL' is installed in, plus `\Lib'. For
example, if you installed `DevIL' to E:\ImageLib, enter
`E:\ImageLib\Lib'. [image src="images/devil_msvc_lib.png"]
9. Click the New button (to the left of the red ‘X').
10. Type the directory `DevIL' is installed in, plus `\Lib\Debug'.
In the previous example, you would enter `E:\ImageLib\Lib\Debug'.
11. Choose OK.
2.1.2 MSVC++ Bug Workaround
---------------------------
Microsoft Visual C++ 6.0 has a bug that prevents debugging of a project.
The bug appears to occur when you use a #pragma to link a .lib file and
link it via another method. The header files `il.h', `ilu.h' and
`ilut.h' automatically link the .lib files in via a `#pragma' for
convenience. To prevent this bug, check for and remove these:
* `devil.lib', `devil-d.lib', `ilu.lib', `ilu-d.lib', `ilut.lib' and
`ilut-d.lib' in your project settings (Project – Settings menu).
* `devil.lib', `devil-d.lib', `ilu.lib', `ilu-d.lib', `ilut.lib' and
`ilut-d.lib' in your project's workspace. Some people link
libraries into their project this way, which really should be
discouraged, due to the hardcoded paths.
2.1.3 Multithreading
--------------------
`DevIL' takes advantage of the multithreaded standard `LIBC' DLLs. To
use file streams with `DevIL', you must change the project settings of
your project. If you do not perform these steps, your program will
crash whenever you attempt to use a `DevIL' file stream.
Generally, `DevIL' is not thread safe. You should make sure that
threads in your application do not use `DevIL' at the same time.
1. Navigate to the Project menu and choose Settings.
2. Click the C/C++ tab.
3. Change the Category drop-down menu to read Code Generation.
4. Change the Use run-time library drop-down menu to Multithreaded
DLL if the Settings For menu says Win32 Release. Change the Use
run-time library drop-down menu to Debug Multithreaded DLL if the
Settings For menu says Win32 Debug.
5. Choose OK.
2.2 `DJGPP' Setup
=================
Setting up `DevIL' in DJGPP requires the following steps:
1. Unzip `DevIL' in an empty directory. If using WinZip, check the
"Use folder names" box before unzipping. Use the -d command line
option if using pkunzip.
2. Create a new subdirectory called ‘il' in your `DJGPP' include
directory.
3. Copy the files to their respective places:
* To use the precompiled libraries, copy `libil.a', `libilu.a'
and `libilut.a' from ImageLib\lib\djgpp to your `DJGPP' lib
directory. Then copy `il.h', `ilu.h' and `ilut.h' from your
ImageLib\lib\il directory to your `DJGPP' include\il
directory.
* To compile the library yourself, change directories to
ImageLib\Makefiles\Djgpp. This folder contains only a
makefile for `DJGPP'. Simply type `make', and the makefile
will compile `DevIL' and copy the files to their respective
locations.
To compile with `DevIL' in DJGPP, add `-lil' to your command line.
To also use ILU and ILUT, use `-lilu' and `-lilut', respectively.
2.3 General GCC-based (Linux, Cygwin, Max OS X, etc.) Setup
===========================================================
Setting up `DevIL' in this environment requires the following steps:
1. Unpack `DevIL' to your favourite build area: Typically this is
done by running `tar -xvvf devil-xxx.tar.gz'
2. Go to the root devil directory and run `./configure
<your-favourite options>'
TIP: Typically, you will want to specify `--prefix=/usr' (where
to install `DevIL'), `--enable-ILU' and/or `--enable-ILUT' and
probably also `--with-examples'. Running `configure --help'
gives you an exhaustive list of possibilities how to tweak `DevIL'
build.
3. If no errors occured and you are satisfied with the configure
report, you can compile it by running `make'
TIP: You can run `make -j3' if you have a dual-core processor.
Generally, if you replace the number '3' with 'number of CPU
cores' + 1, you are likely to get the job done in the shortest
time.
4. Run `make check' to check whether everything works as it should.
*Note tests::, for hints what to do if a test fails.
5. Install `DevIL' by running `make install' as superuser.
TIP: You can override variables at make time if you forgot to
do that at configure time. For instance, you can install
by `make install prefix=/usr'
In order to link to `DevIL', you may use autotools with `libtool',
which means to link either with `libIL.la' or `libILU.la' or with
`libILUT.la' depending what level of functionality you require. You
may decide to use a monolithic build of the library and you then link
with `libDevIL.la'. The best way is to have this code in your
`configure.ac' file:
...
dnl Check for libtool (older macro for this is AC_PROG_LIBTOOL)
LT_INIT
...
# Check for libs we need for our program now
dnl Check that we have the header
AC_CHECK_HEADER([IL/il.h])
dnl Check for the IL part on DevIL on unix-like systems
PKG_CHECK_MODULES([DEVIL],
[IL ILU ILUT])
dnl Check that DevIL library exists (good for Windows)
AC_CHECK_LIB([DevIL], [main], [LIBS_WE_NEED="-lDevIL $LIBS_WE_NEED"])
...
dnl Now export the variable that contains libraries
dnl so we can use it in makefiles
AC_SUBST([LIBS_WE_NEED])
AC_SUBST([DEVIL_CFLAGS DEVIL_LIBS])
...
If you are skilled with automake, you may link with the libtool
files directly, which is more portable (`pkg-config' currently breaks
cross-compilation).
If you use an IDE or if you don't like autotools (which is a big
mistake, by the way :-), then you may use `pkg-config' as a program.
This is not recommended if you intend to use `DevIL' in a
cross-platform programs. You can get libraries you need to link to by
running `pkg-config IL --libs'. Again, you decide whether you need
`IL', `ILU' or `ILUT'. Also pass `pkg-config IL --cflags' to the
compiler!
If you are a happy IDE user, you have to write this commands in the
backquotes like ``pkg-config ILUT --libs`' into some text boxes that
allow you to specify additional `LDFLAGS'.
2.4 Test and examples
=====================
2.4.1 Test suite
----------------
`DevIL' now comes with a test suite. If you can use autotools to
configure and compile it, you can also run the test suite by executing
`make check' in the directory where you ran `configure'.
There are following tests available:
* Format test: An image is generated and saved to disc. It is
loaded afterwards and compared to the original. If they are
pretty much the same, the test is passed.
* Format test 2 (coming soon): Some image formats can't be saved.
So a test images are provided and loaded and compared.
2.4.2 Examples
--------------
`IL' examples:
* Simple
* Read
* Override
Note: Those examples can be linked against `ILU', but this is only
because error report functions.
`ILUT' examples:
* Allegro
* C++ wrapper
* SDL
* Volume
* OpenGL

File: DevIL_manual.info, Node: Basic usage, Next: Image management, Prev: Introduction, Up: Top
3 Basic usage
*************
You must initialize `DevIL', or it will most certainly crash. You need
to initialize each library (IL, ILU, and ILUT) separately. You do not
need to initialize libraries you are not using, but keep in mind that
the higher level libraries are dependent on the lower ones. For
example, ILUT is dependent on ILU and IL, so you have to initialize IL
and ILU as well.
3.1 Initializing DevIL
======================
3.1.1 IL Initialization
-----------------------
Simply call the `ilInit' function with no parameters:
// Initialize IL
ilInit();
3.1.2 ILU Initialization
------------------------
Call the `iluInit' function with no parameters:
// Initialize ILU
iluInit();
3.1.3 ILUT Initialization
-------------------------
ILUT initialization is slightly more complex than IL and ILU
initialization. The function you will use is `ilutRenderer'. You must
call `ilutRenderer' before you use any ILUT functions. This function
initializes ILUT support for the API you desire to use by a single
parameter:
* `ILUT_OPENGL' - Initializes ILUT's OpenGL support.
* `ILUT_ALLEGRO' - Initializes ILUT's Allegro support.
* `ILUT_WIN32' - Initializes ILUT's Windows GDI and DirectX 8
support.
An example of using `ilutRenderer' follows:
// Initialize ILUT with OpenGL support.
ilutRenderer(ILUT_OPENGL);
3.2 Image Name Handling
=======================
Image names are `DevIL''s way of keeping track of images it is
currently containing. Some other image libraries return structs, but
they generally seem more cluttered than `DevIL''s image name handling.
ILvoid ilGenImages(ILsizei Num, ILuint *Images);
ILvoid ilBindImage(ILuint Image);
ILvoid ilDeleteImages(ILsizei Num, ILuint *Images);
3.2.1 Generating Image Names
----------------------------
Use `ilGenImages' to generate a set of image names. `ilGenImages'
accepts an array of ILuint to receive the generated image names. There
are no guarantees about the order of the generated image names or any
other predictable behaviour like this. If `ilDeleteImages' is called
on an image name, `ilGenImages' will return that value afterward, until
all deleted image names are used. This conserves memory and is
generally quick. The only guarantee is that each member of the Images
parameter (up to Num number of them) will have a new, unique value.
3.2.2 Binding Image Names
-------------------------
`ilBindImage' binds the current image to the image described by the
image name in Image. `DevIL' reserves the number zero for the default
base image. If you pass a value for Image that was not generated by
`ilGenImages', `ilBindImage' automatically creates an image specified
by the image name passed. An image must always be bound before you
call any functions that operate on images and their data.
When `DevIL' creates a new image, the image has the default
properties of with a bit depth of 8. `DevIL' creates a new image when
you call `ilBindImage' with an image name that has not been generated
by `ilGenImages' or when you call `ilGenImages' specifically.
3.2.3 Deleting Image Names
--------------------------
`ilDeleteImages' is the exact opposite of `ilGenImages' and even
accepts the exact same parameters. `ilDeleteImages' deletes image
names to free memory for subsequent operations. You should always call
`ilDeleteImages' on images that are not in use anymore. When you
delete an image, `DevIL' actually deletes all data and anything
associate with it, so that `ilGenImages' can possibly use the image
name later.
3.3 File handling - loading images
==================================
`DevIL''s main purpose is to load images. `DevIL''s loading is
designed to be extremely easy but very powerful.
*Note file_formats::, lists the image types `DevIL' is capable of
loading.
`DevIL' contains four loading functions to support different loading
styles and loading from several different image sources.
ILboolean ilLoadImage(const char *FileName);
ILboolean ilLoad(ILenum Type, const char *FileName);
ILboolean ilLoadF(ILenum Type, ILHANDLE File);
ILboolean ilLoadL(ILenum Type, ILvoid *Lump, ILuint Size);
3.3.1 Loading from Files - `ilLoadImage'
----------------------------------------
`ilLoadImage' is the main `DevIL' loading function. All you do is pass
`ilLoadImage' the filename of the image you wish to load.
`ilLoadImage' takes care of the rest. `ilLoadImage' allows users to
transparently load several different image formats uniformly.
`DevIL''s most powerful function is `ilLoadImage' because of this
feature.
Before loading the image, `ilLoadImage' must first determine the
image format of the file. `ilLoadImage' performs the following steps:
1. Compares the filename's extension to any registered file handlers,
allowing the registered file handlers to take precedence over the
default `DevIL' file handlers. If the extension matches a
registered file handler, `ilLoadImage' passes control to the file
handler and returns. For more information on registering, refer
to the section entitled (*note registration::).
2. Compares the filename's extension to the extensions natively
supported by `DevIL'. If the extension matches a loading
function's extension, `ilLoadImage' passes control to the file
handler and returns.
3. Examines the file for a header and tries to match it with a known
type of image header. If a valid image header is found,
`ilLoadImage' passes control to the appropriate file hander and
returns.
4. Returns `IL_FALSE'.
3.3.2 Loading from Files - `ilLoad'
-----------------------------------
`DevIL''s other file loading function is `ilLoad'. `ilLoad' is similar
to `ilLoadImage' in many respects but different in other ways.
`ilLoad' accepts two parameters: the type of image and the filename of
the image.
`ilLoad''s type parameter is what differentiates it from
`ilLoadImage'. Type can be any of the values listed in table B-2 in
appendix B or the value `IL_TYPE_UNKNOWN'. If Type is a value from
table B-1, `ilLoad' attempts to load the file as the specified type of
image format. Only use this if you know what type of images you will
be loading and want to bypass `DevIL''s checks.
If `IL_TYPE_UNKNOWN' is specified for Type, `ilLoad' behaves exactly
like `ilLoadImage'. Refer to the previous section for detailed
behaviour of these two functions.
3.3.3 Loading from File Streams - `ilLoadF'
-------------------------------------------
`DevIL''s file stream loading function is `ilLoadF'. `ilLoadF' is
exactly equivalent to `ilLoad', but instead of accepting a const char
pointer, `ilLoadF' accepts an `ILHANDLE'. `DevIL' defines `ILHANDLE'
as a void pointer via a typedef. Under normal circumstances, File will
be a `FILE' struct pointer defined in `stdio.h'.
*Note registration::, for instructions on how to use your own file
handling functions and file handles.
3.3.4 Loading from Memory Lumps - `ilLoadL'
-------------------------------------------
`DevIL''s file handling is abstracted to allow loading images from
memory called "lumps". `ilLoadL' handles loading from lumps. You must
specify a valid type as the first parameter and the lump as the second
parameter.
The third parameter that `ilLoadL' accepts is the total size of the
lump. `DevIL' uses this value to perform bounds checking on the input
data. Specify a value of zero for Size if you do not want `ilLoadL' to
perform any bounds checking.
3.3.5 Saving to Files
---------------------
`DevIL' also has some powerful saving functions to fully complement the
loading functions.
ILboolean ilSaveImage(const char *FileName);
ILboolean ilSave(ILenum Type, const char *FileName);
ILboolean ilSaveF(ILenum Type, ILHANDLE File);
ILuint ilSaveL(ILenum Type, ILvoid *Lump, ILuint Size);
`DevIL''s saving functions are identical to the loading functions,
despite the fact that they save images instead of load images.
Typically, the user does not know exactly how large the output image
will be. If you pass `NULL' for `Lump' and 0 for `Size' to `ilSaveL',
`ilSaveL' will return the buffer size needed to save an image of `Type'.
When a buffer is passed for `Lump', the return value is how many bytes
were written to the buffer.
Note that not all formats that have load support have also save
support (*note file_formats::)

File: DevIL_manual.info, Node: Image management, Next: Error handling, Prev: Basic usage, Up: Top
4 Image management
******************
4.1 Defining Images
===================
`ilTexImage' is used to give the current bound image new attributes
that you specify. Any image data or attributes previously in the
current bound image are lost after a call to `ilTexImage', so make sure
that you call it only after preserving the image data if need be.
ILboolean ilTexImage(ILuint Width, ILuint Height, ILuint Depth,
ILubyte Bpp, ILenum Format, ILenum Type, ILvoid *Data);
`ilTexImage' has one of the longer parameter lists of the `DevIL'
functions, so we will briefly go over what is expected for each
argument.
- `Width': The width of the image. If this is zero, `DevIL' creates
an image with a width of one.
- `Height': The height of the image. If this is zero, `DevIL'
creates an image with a height of one.
- `Depth': The depth of the image, if it is an image volume. Most
applications should specify 0 or 1 for this parameter.
- `Bpp': The bytes per pixel of the image data. Do not confuse this
with bits per pixel, which is also commonly used. Common bytes
per pixel values are 1, 3 and 4.
- `Format': The format of the image data. *Note format #defines::,
for what you can pass.
- `Type': The type of image data. Usually, this will be
`IL_UNSIGNED_BYTE', unless you want to utilize multiple bytes per
colour channel. *Note type #defines::, for acceptable type.
- `Data': Mainly for convenience, if you already have image data
loaded and ready to put into the newly created image. Specifying
`NULL' for this parameter just results in the image having
unpredictable image data. You can specify image data later using
`ilSetData' or `ilSetPixels'.
4.2 Getting image data
======================
There are two ways to set image data: one is quick and dirty, while the
other is more flexible but slower. These two functions are `ilGetData'
and `ilCopyPixels'.
ILubyte *ilGetData(ILvoid);
ILuint ilCopyPixels(ILuint XOff, ILuint YOff, ILuint ZOff,
ILuint Width, ILuint Height, ILuint Depth, ILenum Format,
ILenum Type, ILvoid * Data);
4.2.1 The Quick Method
----------------------
Use `ilGetData' to get a direct pointer to the current bound image's
data pointer. Do not ever try to delete this pointer that is returned.
To get information about the image data, use `ilGetInteger'.
`ilGetData' will return `NULL' and set an error of
`IL_ILLEGAL_OPERATION' if there is no currently bound image.
4.2.2 The Flexible Method
-------------------------
Use `ilCopyPixels' to get a portion of the current bound image's data
or to get the current image's data with in a different format / type.
`DevIL' takes care of all conversions automatically for you to give you
the image data in the format or type that you need. The data block can
range from a single line to a rectangle, all the way to a cube.
`ilCopyPixels' has a long parameter list, like `ilTexImage', so here
is a description of the parameters of `ilCopyPixels':
- `XOff': Specifies where to start copying in the x direction.
- `YOff': Specifies where to start copying in the y direction.
- `ZOff': Specifies where to start copying in the z direction. This
will be 0 in most cases, unless you are using image volumes.
- `Width': Number of pixels to copy in the x direction.
- `Height': Number of pixels to copy in the y direction.
- `Depth': Number of pixels to copy in the z direction. This will
be 1, unless
- `Format, Type, Data': These are basically the same as ones
described above. *note ilTexImage reference::.
4.3 Setting image Data
======================
There are two ways to set image data: one is quick and dirty, while the
other is more flexible but slower. These two functions are `ilSetData'
and `ilSetPixels'.
ILboolean ilSetData(ILvoid *Data);
ILvoid ilSetPixels(ILuint XOff, ILuint YOff, ILuint ZOff,
ILuint Width, ILuint Height, ILuint Depth, ILenum Format,
ILenum Type, ILvoid *Data);
4.3.1 The Quick Method
----------------------
Use `ilSetData' to set the image data directly. `DevIL' will copy the
data provided in the Data parameter to the image’s data, so you need
not worry about `DevIL' trying to delete your pointer later on. This
function is the counterpart to `ilGetData'.
You must provide image data in the exact same format, type, width,
height, depth and bpp as the current bound image, since `DevIL' does no
conversions here; it just does a simple memory copy.
`ilSetData' will return `IL_FALSE' and set an error of
`IL_INVALID_PARAM' if Data is `NULL'.
4.3.2 The Flexible Method
-------------------------
Use `ilSetPixels' to set a portion of the current bound image’s data or
to set the current image’s data with data of a different format / type.
Specify the data block, where you want to put it and what kind of data
it is, and `DevIL' takes care of all conversions automatically for you.
The data block can range from a single line to a rectangle, all the way
to a cube.
`ilSetPixels' has a long parameter list, like `ilCopyPixels', so
here is a description of the parameters of `ilSetPixels':
- Previous parameters are the same as in `ilTexImage'
- `Data': A pointer to the actual data block. If this is `NULL',
`DevIL' will set an error of `IL_INVALID_PARAM' and return
`IL_FALSE' (please refer to the section on error handling in
`DevIL').
If you specify a combination of an offset with a width/height/depth
that makes your data block overreach the edge of the currently bound
image, `DevIL' will clip your data so that no crashes will occur and
that the resulting image will be correctly produced.
4.4 Copying Images
==================
`DevIL' has three functions to copy images: `ilCopyImage',
`ilOverlayImage' and `ilBlit'.
ILboolean ilCopyImage(ILuint Src);
ILboolean ilOverlayImage(ILuint Src, ILint XCoord, ILint YCoord,
ILint ZCoord);
ILboolean ilBlit(ILuint Src, ILint DestX, ILint DestY, ILint DestZ,
ILuint SrcX, ILuint SrcY, ILuint SrcZ, ILuint Width,
ILuint Height, ILuint Depth);
4.4.1 Direct Copying
--------------------
Use `ilCopyImage' to create a copy of an image. `ilCopyImage' will
copy the image specified by the image name in Src to the currently
bound image. `ilCopyImage' can be useful when you want to apply an
effect to an image but want to preserve the original. The image bound
before calling `ilCopyImage' will still be bound after `ilCopyImage'
exits.
If you specify an image name in Src that has not been generated by
`ilGenImages' or `ilBindImage', `ilCopyImage' will set the
`IL_INVALID_PARAM' error and return `IL_FALSE'.
4.4.2 Blitting
--------------
`ilBlit' copies a portion of an image over to another image. This is
similar to blitting performed in graphics libraries, such as StretchBlt
in the Windows API. You can copy a rectangular block from anywhere in
a source image, specified by Src, to any point in the currently bound
image. A description of the various `ilBlit' parameters follows:
- `Src': The source image name.
- `DestX': Specifies where to place the block of image data in the x
direction.
- `DestY': Specifies where to place the block of image data in the y
direction.
- `DestZ': Specifies where to place the block of image data in the z
direction.
- `SrcX': Specifies where to start copying in the x direction of the
source image.
- `SrcY': Specifies where to start copying in the y direction of the
source image.
- `SrcZ': Specifies where to start copying in the z direction of the
source image.
- `Width': How many pixels to copy in the x direction of the source
image.
- `Height': How many pixels to copy in the y direction of the source
image.
- `Depth': How many pixels to copy in the z direction of the source
image.
4.4.3 Overlaying
----------------
`ilOverlay' is essentially the same as `ilBlit', but it copies the
entire image over, instead of just a portion of the image. `ilOverlay'
is more of a convenience function, since you can obtain the same
results by calling `ilBlit' with SrcX, SrcY and SrcZ set to zero, with
the Width, Height and Depth parameters set to the source image's
height, width and depth, respectively. `ilOverlay' is missing six
parameters that `ilBlit' has:
- `Src': The source image name.
- `DestX': Specifies where to place the block of image data in the x
direction.
- `DestY': Specifies where to place the block of image data in the y
direction.
- `DestZ': Specifies where to place the block of image data in the z
direction.
4.4.4 Blit/Overlay Behavior
---------------------------
By default, `ilBlit' and `ilOverlay' will blend the source with the
destination image if the source has an alpha channel present. If you
need to blit the image without blending, you can use the
`IL_BLIT_BLEND' #define. This behavior can be toggled with `ilEnable'
and `ilDisable'.
ilDisable(IL_BLIT_BLEND); // Turns off blending
ilEnable(IL_BLIT_BLEND); // Turns on blending
5 Image Characteristics
***********************
All images have a certain set of characteristics: origin of the image,
format of the image, type of the image, and more.
5.1 Origin
==========
Depending on the file format, data can start in the upper left or the
lower left corner of the image. By default, `DevIL' keeps the origin
in the same place as the original image. This can cause your image to
be flipped vertically if the image you are loading has an origin other
than what you expect. To obtain the origin of the image, use
`ilGetInteger'.
ilGetInteger(IL_IMAGE_ORIGIN);
To force `DevIL' to use just one origin, you need to use the
following code:
ilEnable(IL_ORIGIN_SET);
ilSetInteger(_Origin_);
_Origin_ is either `IL_ORIGIN_LOWER_LEFT' or `IL_ORIGIN_UPPER_LEFT'.
Finally, if you need to find out which origin mode is currently set,
use:
ilGetInteger(IL_ORIGIN_MODE);
5.2 Format
==========
Format refers to the ordering of the bytes for each pixel.
5.3 Registration
================

File: DevIL_manual.info, Node: Error handling, Next: Image manipulation, Prev: Image management, Up: Top
6 Error handling
****************
`DevIL' contains error-handling routines to alert the users of this
library to any internal problems in `DevIL'. The `ilGetError' function
reports all errors in `DevIL'. `iluErrorString' converts error numbers
returned from `ilGetError' to a human-readable format.
ILenum ilGetError(ILvoid);
const char* iluErrorString(ILenum Error);
6.1 Error Detection
===================
Problems can always occur in any software application, and `DevIL' is
no different. `DevIL' keeps track of all non-fatal errors that have
occurred during its operation. All errors are kept on a stack
maintained by `ilGetError'. Every time `ilGetError' is called, the
last error is returned and pushed off the top of the stack. You should
call `ilGetError' until `IL_NO_ERROR' is returned. `IL_NO_ERROR'
signifies that there are no more errors on the error stack. Most
errors reported are not harmful, and `DevIL' operation can continue,
except for `IL_OUT_OF_MEMORY'.
*Note error_codes::, for error codes that can be returned by
`ilGetError'.
6.2 Error Strings
=================
`iluErrorString' returns a human readable error string from any error
that `ilGetError' can return. This is useful for when you want to
display what kind of error happened to the user.
6.2.1 Languages
---------------
The ILU error messages have been translated into multiple languages:
Arabic, Dutch, German, Japanese and Spanish. The default language is
English.
6.2.2 Selecting a Language
--------------------------
`iluSetLanguage' will change the error string returned by
`iluErrorString' to the language specified in its parameter. Languages
supported are: English, Arabic, Dutch, German, Japanese and Spanish.
*Note language #defines::, for a list of possible values.
Be aware that if the Unicode version of `DevIL' is not being used,
some translations will not display properly. An example is Arabic,
which uses characters outside of the standard ASCII character set.

File: DevIL_manual.info, Node: Image manipulation, Next: Common #defines, Prev: Error handling, Up: Top
7 Image manipulation
********************
ILU (Image Library Utilities) contains functions to manipulate any type
of image in a variety of ways. Some functions filter images, while
others perform a wider variety of operations, such as scaling an image.
This section will give a comparison of the utility functions against
the below figure.
[image src="images/original_stairway.jpg"]
Figure 7.1: Original, unmodified image
This is a crop of a Bertrand Benoit's image taken from Blender art
gallery (http://www.blender.org/features-gallery/gallery/art-gallery/),
and Bertrand has kindly allowed us to use it for demonstrations. You
can check out his website (http://www.bertrand-benoit.com). Thank you,
Bertrand!
The image samples here have a better-than-bad resolution, so you
don't have to be afraid to zoom at them if you wish to see details.
7.1 Alienifying
===============
`iluAlienify' is a filter I created purely by accident, when I was
attempting to write colour matrix code. The effect `iluAlienify' gives
to an image is a green and purple tint. On images with humans in them,
`iluAlienify' generally makes the people look green, hence the
fabricated term "alienify". `iluAlienify' does not accept any
parameters. The figure below illustrates this effect on the `DevIL'
logo.
[image src="images/small_stairway.jpg"] [image src="images/ilu_small_stairway_alienify.jpg"]
Figure 7.2: Original and "alienified" image
7.2 Blurring
============
ILU has two blurring functions – `iluBlurAverage' and
`iluBlurGaussian'. Blurring can be used for a simple motion blur
effect or something as sophisticated as concealing the identity of a
person in an image. Both of these functions use a convolution filter
and multiple iterations to blur an image. Gaussian blurs look more
natural than averaging blurs, because the center pixel in the
convolution filter "weighs" more. For an in-depth description of
convolution filters, see the excellent _Elementary Digital Filtering_
article at gamedev.net
(http://www.gamedev.net/reference/programming/features/edf/).
`iluBlurAverage' and `iluBlurGaussian' are functionally equivalent.
Both functions accept a single parameter. Call the desired function
with the number of iterations of blurring you wish to be performed on
the image. Increase the number of iterations to increase the
blurriness of an image.
[image src="images/small_stairway.jpg"] [image src="images/ilu_small_stairway_blurAvg_10.jpg"] [image src="images/ilu_small_stairway_blurGaussian_10.jpg"]
Figure 7.3: Original image, average blurred and gaussian blurred, both
with 10 iterations applied
7.3 Contrast
============
ILU can apply more colour contrast to your image by brightening the
lights and darkening the darks via `iluContrast'. This effect can make
a dull image livelier and "stand out" more.
`iluContrast' accepts a single parameter describing the desired
amount of contrast to modify the image by.
* values from 0.0 to 1.0 decrease the amount of contrast in the
image.
* value of 1.0 does not affect the image.
* values above 1.0 to 1.7 increase the amount of contrast in the
image, with 1.7 increasing the contrast the most.
* values outside of the 0.0 to 1.7 range will give undefined
results. -0.5 to 0.0 will actually create a negative of the image
and increase the contrast.
[image src="images/small_stairway.jpg"] [image src="images/ilu_small_stairway_contrast_0.4.jpg"] [image src="images/ilu_small_stairway_contrast_1.7.jpg"]
Figure 7.4: Original image, image with contrast of 0.4 and with
contrast of 1.7
7.4 Equalization
================
Sometimes it may be useful to equalize an image – that is, bring the
extreme colour values to a median point. `iluEqualize' darkens the
bright colours and lightens the dark colours, reducing the contrast in
an image or "equalizing" it. The below figure shows the results of
applying `iluEqualize' to the `DevIL' image.
[image src="images/small_stairway.jpg"] [image src="images/ilu_small_stairway_equalize.jpg"]
Figure 7.5: Original image and equalized image
7.5 Gamma Correction
====================
`iluGammaCorrect' applies gamma correction to an image using an
exponential curve. The single parameter `iluGammaCorrect' accepts is
the gamma correction factor you wish to use. A gamma correction factor
of 1.0 leaves the image unmodified. Values in the range `0.0 - 1.0'
darken the image. 0.0 leaves a totally black image. Anything above
1.0 brightens the image, but values too large may saturate the image.
[image src="images/small_stairway.jpg"] [image src="images/ilu_small_stairway_gammaCorrect_0.7.jpg"] [image src="images/ilu_small_stairway_gammaCorrect_1.6.jpg"]
Figure 7.6: Original image, image with gamma 0.7 and with with gamma 1.6
7.6 Negativity
==============
`iluNegative' is a very basic function that inverts every pixel's
colour in an image. For example, pure white becomes pure black, and
vice-versa. The resulting colour of a pixel can be determined by this
formula: `new_colour = ~old_colour' (where the tilde is the negation of
the set of bits). `iluNegative' does not accept any parameters and is
reversible by calling it again.
[image src="images/small_stairway.jpg"] [image src="images/ilu_small_stairway_negative.jpg"]
Figure 7.7: Original and negative image
7.7 Noise
=========
ILU can add "random" noise to any image to make it appear noisy. The
function, `iluNoisify', simply uses the standard libc `rand' function
after initializing it with a seed to `srand'. If your program depends
on a different seed to `rand', reset it after calling `iluNoisify'.
The seed ILU uses is the standard `time(NULL)' call. Of course, the
noise added to the image is not totally random, since no such thing
exists, but there should be no repeating, except in extremely large
images.
[image src="images/small_stairway.jpg"] [image src="images/ilu_small_stairway_noisify_0.1.jpg"] [image src="images/ilu_small_stairway_noisify_0.8.jpg"]
Figure 7.8: Original image, noisified image 0.1, noisified 0.8
`iluNoisify' accepts a single parameter – the tolerance to use.
This parameter is a clamped (float) value that should be in the range
`0.0f - 1.0f'. Lower values indicate a lower tolerance, while higher
values indicate the opposite. The tolerance indicates just how much of
a mono intensity that `iluNoisify' is allowed to apply to each pixel.
A "random" mono intensity is applied to each pixel so that you will not
end up with totally new colours, just the same colours with a different
luminance value. Colours change by both negative and positive values,
so some pixels may be darker, some may be lighter, and others will
remain the same.
7.8 Pixelization
================
`iluPixelize' creates pixelized images by averaging the colour values
of blocks of pixels. The single parameter passed to `iluPixelize'
determines the size of these square blocks. The result is a pixelized
image.
Call `iluPixelize' with values greater than 1 to pixelize the image.
The larger the values, the larger the pixel blocks will be. A value of
1 will leave the image unchanged. Values less than 1 generate an error.
[image src="images/small_stairway.jpg"] [image src="images/ilu_small_stairway_pixelize_5.jpg"]
Figure 7.9: Pixelization of 5 pixels across
7.9 Sharpening
==============
Sharpening sharply defines the outlines in an image. `iluSharpen'
performs this sharpening effect on an image. `iluSharpen' accepts two
parameters: the sharpening factor and the number of iterations to
perform the sharpening effect.
The sharpening factor must be in the range of 0.0 - 2.5.
* values from 0.0 to 1.0 do a type of reverse sharpening, blurring
the image.
* value of 1.0 for the sharpening factor will have no effect on the
image.
* values in the range 1.0 - 2.5 will sharpen the image, with 2.5
having the most pronounced sharpening effect.
* values outside of the 0.0 - 2.5 range produce undefined results.
The number of iterations to perform will usually be 1, but to
achieve more sharpening, increase the number of iterations. This
parameter is similar to the _Iterations_ parameter of the two blurring
functions. The time it takes to run this function is directly
proportional to the number of iterations desired.
[image src="images/small_stairway.jpg"] [image src="images/ilu_small_stairway_sharpen_1.8_2.jpg"] [image src="images/ilu_small_stairway_sharpen_2.1_3.jpg"]
Figure 7.10: Original image, image sharpened by 1.8 in 2 iterations and
sharpened by 2.1 in 3 iterations
8 Resizing Images
*****************
8.1 Basic Scaling
=================
To resize images, use the `iluScale' function:
ILboolean iluScale(ILuint Width, ILuint Height, ILuint Depth);
The three parameters are relatively explanatory. Any image can be
resized to a new width, height and depth, provided that you have enough
memory to hold the new image. The new dimensions do not have to be the
same as the original in any way. Aspect ratios of the image do not
even have to be the same. The currently bound image is replaced
entirely by the new scaled image.
If you specify a dimension greater than the original dimension, the
image enlarges in that direction. Alternately, if you specify a
dimension smaller than the original dimension, the image shrinks in
that direction.
8.2 Advanced Scaling
====================
ILU also allows you to specify which method you want to use to resize
images. As you can see in the middle figure above, the enlarged image
is very pixelized. The shrunk image is also blocky. This is because a
nearest filter was applied to the image in figure 5.1 to produce
figures 5.2 and 5.3.
ILU allows you to use different filters to produce better scaling
results via `iluImageParameter':
* Nearest filter - `ILU_NEAREST'
* Linear filter - `ILU_LINEAR'
* Bilinear filter - `ILU_BILINEAR'
* Box filter - `ILU_SCALE_BOX'
* Triangle filter - `ILU_SCALE_TRIANGLE'
* Bell filter - `ILU_SCALE_BELL'
* B Spline filter - `ILU_SCALE_BSPLINE'
* Lanczos filter - `ILU_SCALE_LANCZOS3'
* Mitchell filter - `ILU_SCALE_MITCHELL'
Just use the `ILU_FILTER' define as _PName_ in `iluImageParameter'
with the appropriate filter define as _Param_.
ILvoid iluImageParameter(ILenum PName, ILenum Param);
8.3 Filter Comparisons
======================
The first three filters (nearest, linear and bilinear) require an
increasing amount of time to resize an image, with nearest being the
quickest and bilinear being the slowest of the three. All the filters
after bilinear are considered the “advanced” scaling functions and
require much more time to complete, but they generally produce much
nicer results.
When minimizing an image, bilinear filtering should be sufficient,
since it uses a four-pixel averaging scheme to create every destination
pixel. Minimized images do not generally have to use higher sampling
schemes to achieve a reasonable image.
Enlarging an image, though, depends quite heavily on how good the
sampling scheme is. ILU provides several filtering functions to let
you choose which one best fits your needs: speed versus image quality.
Below is a comparison of the different types of filters when enlarging
an image.
9 Sub-Images
************
9.1 Mipmaps
===========
Mipmaps in `DevIL' are successive half-dimensioned power-of-2 images.
The dimensions do not have to be powers of 2 if you generate them
manually, but `DevIL''s mipmap generation facilities assume power-of-2
images.
_All mipmap levels down to 1x1_
9.1.1 Mipmap Creation
---------------------
You generate mipmaps for any image using `iluBuildMipmaps'. If the
image already has mipmaps, the previous mipmaps are erased, and new
mipmaps are generated. Otherwise, `iluBuildMipmaps' generates mipmaps
for the image.
The mipmaps built are always powers of 2. If the original image
does not have power-of-2 dimensions, `iluBuildMipmaps' resizes the
original image via `iluScale' to have power-of-2 dimensions.
9.1.2 Mipmap Access
-------------------
Access mipmaps through the `iluActiveMipmap' function:
ILboolean ilActiveMipmap(ILuint MipNum);
`iluActiveMipmap' sets the current image to the _MipNum_ mipmap
level of the current image. If there are no mipmaps present, then
`iluActiveMipmap' returns `IL_FALSE', else it returns `IL_TRUE'. The
base image is mipmap level 0, so specify 0 for _MipNum_ to return to
the base image. The only other method for setting the current image to
the base image is to call `ilBindImage' again.
9.2 Animations
==============
Animations are similar to mipmaps, but instead of being smaller
successive images, the images are the same size but have different data.
The successive animation chains in `DevIL' can be used to create
animations in your programs. File formats that natively support
animations are `.gif' and `.mng'. You can also create your own
sub-images as animations.
9.2.1 Animation Chain Creation
------------------------------
To be added...
9.2.2 Animation Chain Access
----------------------------
Access animations through the `iluActiveImage' function:
ILboolean ilActiveImage(ILuint ImageNum);
`iluActiveImage' sets the current image to the _ImageNum_ animation
frame of the current image. If there are no animation frames present,
then `iluActiveImage' returns `IL_FALSE', else it returns `IL_TRUE'.
The base image is animation frame 0, so specify 0 for _ImageNum_ to
return to the base image. The only other method for setting the
current image to the base image is to call `ilBindImage' again.
`iluActiveImage' is functionally equivalent to `iluActiveMipmap',
except that it deals with animations and not mipmaps.
9.3 Layers
==========
`DevIL' does not have a full layer implementation yet.
9.4 Sub-Image Mixing
====================
An image can have both mipmaps and animations at the same time. Every
image in an animation chain can have its own set of mipmaps, though it
is not necessary by any means. If you "activate" an animation image in
the base image's animation chain, the active image becomes the new
"base" image. Therefore, if you call `iluActiveMipmap' after
`iluActiveImage', a mipmap from the selected image in the animation
chain is chosen.
10 DXTC/S3TC Notes
******************
10.1 DDS Loading/Saving
=======================
`DevIL' supports loading and saving of Microsoft .dds files. DDS files
can either be compressed or uncompressed. If they are compressed, DDS
files use DirectX Texture Compression (DXTC). DXTC is also known as
S3TC, since Microsoft licensed the compression technology from S3.
10.1.1 Keeping DXTC Data
------------------------
When loading, `DevIL' uncompresses the DXTC. If you call `ilEnable'
with the `IL_KEEP_DXTC_DATA' parameter, `DevIL' will keep an
uncompressed copy of the DXTC data along with the image. Functions
that deal with DXTC data can use this data without having to recompress
the uncompressed data, making these functions operate faster. The only
drawback is the use of more memory.
10.1.2 Controlling Saving
-------------------------
`DevIL''s DXTC support consists of three different compression formats:
DXT1, DXT3 and DXT5. DXT2 and DXT4 use premultiplied alpha, which not
even OpenGL supports. `DevIL' loads DXT2 and DXT4 textures but
immediately converts them to formats that do not use premultiplied
alpha. To set what format to save DDS files in, use this line:
ilSetInteger(IL_DXTC_FORMAT, Format);
_Format_ can be `IL_DXT1', `IL_DXT3' or `IL_DXT5'.
10.1.3 Compression Method
-------------------------
`DevIL' can use the nVidia Texture Tools (NVTT) library, the libsquish
library and its own internal compressor to generate DXTC data. By
default, `DevIL' uses its internal compressor. This compressor is fast
but is not very high quality. NVTT is usually CUDA-enabled, meaning
that it can run quickly on computers with GeForce 8-series and higher
cards. libsquish generates images with the highest quality possible,
but it can be very slow.
To enable compression by NVTT or libsquish, use one of the following
lines of code:
ilEnable(IL_NVIDIA_COMPRESS);
ilEnable(IL_SQUISH_COMPRESS);
You can also disable compression by these libraries by using
`ilDisable'. If both are enabled, NVTT is used.
10.2 Retrieving DXTC Data
=========================
To retrieve a copy of the DXTC data, use `ilGetDXTCData'. To determine
how large Buffer should be, first call `ilGetDXTCData' with the Buffer
parameter as `NULL'. This function will then return the number of
bytes that are required to completely store the DXTC data. Call it a
second time to actually retrieve the data.
ILuint ilGetDXTCData(ILvoid *Buffer, ILuint BufferSize,
ILenum DXTCFormat);
If the DXTC data does not exist in the format that you request,
`DevIL' will automatically compress the data. If `ilGetDXTCData'
returns 0, then the data could not be compressed. To see if a certain
format of DXTC data already exists for the currently bound image, call
`ilGetInteger' with the `IL_DXTC_DATA_FORMAT' parameter.
10.3 Compressing DXTC Data
==========================
In the previous section, it was mentioned that `DevIL' can compress the
data of an image with DXT compression. If you have image data in your
program that you want to compress, you can use the `ilCompressDXT'
function.
ILubyte *ilCompressDXT(ILubyte *Data, ILuint Width, ILuint Height,
ILuint Depth, ILenum DXTCFormat, ILuint *DXTCSize);
Data must be in BGRA format for NVTT and `DevIL''s compressor, and
it must be in RGBA format for libsquish. Please keep this in mind when
calling this `ilCompressDXT'. Look at Compression Method in this
section for information on how to use these libraries.
10.4 OpenGL/Direct3D DXTC Support
=================================
ILUT allows you to directly send the DXTC data to OpenGL or Direct3D.
Several modes in ILUT directly control this behavior.
10.4.1 OpenGL S3TC Support
--------------------------
OpenGL can use S3TC (DXTC) textures via extensions. If a computer does
not support the S3TC texture extension, `DevIL' will just send the data
normally through `glTexImage2D', as always. Please keep in mind that
DDS files store their data in a top-down format, so if you enable the
OpenGL S3TC support, make certain to set the origins of all images in
the upper left:
ilEnable(IL_ORIGIN_SET);
ilSetInteger(IL_ORIGIN_MODE, IL_ORIGIN_UPPER_LEFT);
To enable the OpenGL S3TC support, use the `ilutEnable' function
with the `ILUT_GL_USE_S3TC' parameter:
ilutEnable(ILUT_GL_USE_S3TC);
Setting this parameter means that ILUT will only use DXTC data from
images that are already compressed with DXTC (e.g. DDS files). To
force ILUT to compress any image it sends to OpenGL, use `ilutEnable'
again:
ilutEnable(ILUT_GL_GEN_S3TC);
This can adversely affect your performance while loading textures,
though, so use it with caution, especially if you are running a
performance-critical application.
10.4.2 Direct3D DXTC Support
----------------------------
ILUT's Direct3D (D3D) support works exactly like the OpenGL support,
except you use the `ILUT_D3D_USE_DXTC' and `ILUT_D3D_GEN_DXTC' defines
instead of `ILUT_GL_USE_S3TC' and `ILUT_GL_GEN_S3TC', respectively.

File: DevIL_manual.info, Node: Common #defines, Next: Sample program, Prev: Image manipulation, Up: Top
Appendix A Common `DevIL' `#defines'
************************************
Here goes lists of `DevIL' `#defines' used in functions that manipulate
image data. As you can see, they are self-explanatory.
A.1 `format'-related `#defines'
===============================
`IL_COLOUR_INDEX'
`IL_RGB'
`IL_RGBA'
`IL_BGR'
`IL_BGRA'
`IL_LUMINANCE'
A.2 `type'-related `#defines'
=============================
`IL_BYTE'
`IL_UNSIGNED_BYTE'
`IL_SHORT'
`IL_UNSIGNED_SHORT'
`IL_INT'
`IL_UNSIGNED_INT'
`IL_FLOAT'
`IL_DOUBLE'
A.3 Language-related `#defines'
===============================
`IL_ENGLISH'
`IL_ARABIC'
`IL_DUTCH'
`IL_GERMAN'
`IL_JAPANESE'
`IL_SPANISH'
Appendix B Common `DevIL' Error Codes
*************************************
Errors sometimes occur within `DevIL'. To get the error code of the
last error that occurred, call `ilGetError' with no parameters. To get
a human-readable string of an error code, call `iluErrorString' with
the error code. A table of error codes follows:
Error code `#define' Hex Decimal
value value
-----------------------------------------
`IL_NO_ERROR' `0x000' `0'
`IL_INVALID_ENUM' `0x501' `1281'
`IL_OUT_OF_MEMORY' `0x502' `1282'
`IL_FORMAT_NOT_SUPPORTED' `0x503' `1283'
`IL_INTERNAL_ERROR' `0x504' `1284'
`IL_INVALID_VALUE' `0x505' `1285'
`IL_ILLEGAL_OPERATION' `0x506' `1286'
`IL_ILLEGAL_FILE_VALUE' `0x507' `1287'
`IL_INVALID_FILE_HEADER' `0x508' `1288'
`IL_INVALID_PARAM' `0x509' `1289'
`IL_COULD_NOT_OPEN_FILE' `0x50A' `1290'
`IL_INVALID_EXTENSION' `0x50B' `1291'
`IL_FILE_ALREADY_EXISTS' `0x50C' `1292'
`IL_OUT_FORMAT_SAME' `0x50D' `1293'
`IL_STACK_OVERFLOW' `0x50E' `1294'
`IL_STACK_UNDERFLOW' `0x50F' `1295'
`IL_INVALID_CONVERSION' `0x510' `1296'
`IL_BAD_DIMENSIONS' `0x511' `1297'
`IL_FILE_READ_ERROR' `0x512' `1298'
`IL_LIB_JPEG_ERROR' `0x5E2' `1506'
`IL_LIB_PNG_ERROR' `0x5E3' `1507'
`IL_LIB_TIFF_ERROR' `0x5E4' `1508'
`IL_LIB_MNG_ERROR' `0x5E5' `1509'
`IL_LIB_JP2_ERROR' `0x5E6' `1510'
`IL_LIB_EXR_ERROR' `0x5E7' `1511'
`IL_UNKNOWN_ERROR' `0x5FF' `1535'
Appendix C Supported File Formats
*********************************
`DevIL' supports loading and saving of a large number of image formats.
Table lists the formats `DevIL' supports sorted according to `#define'.
Format name Extension IL `#define' Loading? Saving?
---------------------------------------------------------------------------------
Blizzard texture .blp `IL_BLP' yes no
Windows bitmap .bmp `IL_BMP' yes yes
C-style header .h `IL_CHED' no yes
Dr. Halo Cut File .cut `IL_CUT' yes no
ZSoft Multi-PCX .dcx `IL_DCX' yes no
Digital Imaging and .dicom, .dcm `IL_DCM' yes no
Communications in Medicine
DirectDraw surface .dds `IL_DDS' yes yes
Digital Picture Exchange .dpx `IL_DPX' yes no
DOOM walls/flats .lmp `IL_DOOM', yes no
`IL_DOOM_FLAT'
OpenEXR .exr `IL_EXR' yes yes
Flexible Image Transport .fits, .fit `IL_FITS' yes no
System
Heavy Metal: FAKK 2 Texture .ftx `IL_FTX' yes no
Graphics Interchange Format .gif `IL_GIF' yes no
Radiance High Dynamic Range .hdr `IL_HDR' yes yes
Macintosh Icons .icns `IL_ICNS' yes no
Windows Icons .ico, .cur `IL_ICO' yes no
Interchange File Format .iff `IL_IFF' yes no
Infinity Ward Image .iwi `IL_IWI' yes no
Jpeg Network Graphics .jng `IL_JNG' yes no
Jpeg 2000 .jp2 `IL_JP2' yes yes
Jpeg .jpg, .jpe, `IL_JPG' yes yes
.jpeg
Interlaced Bitmap .lbm `IL_LBM' yes no
Homeworld File .lif `IL_LIF' yes no
Half-Life Model .mdl `IL_MDL' yes no
Mng Animation .mng `IL_MNG' yes no
MPEG-1 Audio Layer 3 .mp3 `IL_MP3' yes no
PhotoCD .pcd `IL_PCD' yes no
ZSoft PCX .pcx `IL_PCX' yes yes
Softimage PIC .pic `IL_PIC' yes no
PIX .pix `IL_PIX' yes no
Portable Network Graphics .png `IL_PNG' yes yes
Pnm .pbm, .pgm, `IL_PPM' yes yes
.ppm, .pnm
Adobe PhotoShop .psd `IL_PSD' yes yes
PaintShop Pro .psp `IL_PSP' yes no
Pixar .pxr `IL_PXR' yes no
Raw Data * `IL_RAW' yes yes
Homeworld 2 Texture .rot `IL_ROT' yes no
Silicon Graphics .sgi, .bw, `IL_SGI' yes yes
.rgb, .rgba
Sun RAS .sun, .ras, `IL_SUN' yes no
.rs, .im*
Creative Assembly Texture .texture `IL_TEXTURE' yes no
Targa .tga `IL_TGA' yes yes
Tagged Image File Format .tif, .tiff `IL_TIF' yes yes
Gamecube Texture .tpl `IL_TPL' yes no
Unreal Texture .utx `IL_UTX' yes no
Valve Texture .vtf `IL_VTF' yes yes
Quake2 Texture .wal `IL_WAL' yes no
HD Photo .wdp, .hdp `IL_WDP' yes no
X Pixel Map .xpm `IL_XPM' yes no
*Exception:* `IL_JPG' (IJL) type is not supported by `ilLoadF' nor
by `ilSaveF'. `IL_JPG' (libjpeg) is supported by both.

File: DevIL_manual.info, Node: Sample program, Next: Functions index, Prev: Common #defines, Up: Top
Appendix D Sample `DevIL' program
*********************************
If you are not used to this approach, you may be grateful for a short
program demonstrating how to actually use `DevIL':
#include<IL/il.h>
#include<stdlib.h> /* because of malloc() etc. */
int main(int argc, const char * argv[])
{
ILuint handle, w, h;
/* First we initialize the library. */
/*Do not forget that... */
ilInit();
/* We want all images to be loaded in a consistent manner */
ilEnable(IL_ORIGIN_SET);
/* In the next section, we load one image */
ilGenImages(1, & handle);
ilBindImage(handle);
ILboolean loaded = ilLoadImage("original_file.jpg");
if (loaded == IL_FALSE)
return -1; /* error encountered during loading */
/* Let's spy on it a little bit */
w = ilGetInteger(IL_IMAGE_WIDTH); // getting image width
h = ilGetInteger(IL_IMAGE_HEIGHT); // and height
printf("Our image resolution: %dx%d\n", w, h);
/* how much memory will we need? */
int memory_needed = w * h * 3 * sizeof(unsigned char);
/* We multiply by 3 here because we want 3 components per pixel */
ILubyte * data = (ILubyte *)malloc(memory_needed);
/* finally get the image data */
ilCopyPixels(0, 0, 0, w, h, 1, IL_RGB, IL_UNSIGNED_BYTE, data);
/* We want to do something with the image, right? */
int i;
for(i = 0; i < memory_needed; i++)
if(i % 31 == 0) /* vandalise the image */
data[i] = i % 255;
/* And maybe we want to save that all... */
ilSetPixels(0, 0, 0, w, h, 1, IL_RGB, IL_UNSIGNED_BYTE, data);
/* and dump them to the disc... */
ilSaveImage("our_result.png");
/* Finally, clean the mess! */
ilDeleteImages(1, & handle);
free(data); data = NULL;
return 0;
}

File: DevIL_manual.info, Node: Functions index, Prev: Sample program, Up: Top
Functions index
***************
[index]
* Menu:
* ilBindImage: Basic usage. (line 78)
* ilBlit: Image management. (line 183)
* ilCopyImage: Image management. (line 169)
* ilCopyPixels: Image management. (line 71)
* ilDeleteImages: Basic usage. (line 93)
* ilGenImages: Basic usage. (line 66)
* ilGetData: Image management. (line 61)
* ilGetError: Error handling. (line 14)
* ilInit: Basic usage. (line 16)
* ilLoad: Basic usage. (line 155)
* ilLoadF: Basic usage. (line 174)
* ilLoadImage: Basic usage. (line 121)
* ilLoadL: Basic usage. (line 186)
* ilOverlay: Image management. (line 223)
* ilSetData: Image management. (line 114)
* ilSetPixels: Image management. (line 129)
* ilTexImage: Image management. (line 6)
* iluActiveMipmap: Image manipulation. (line 304)
* iluAlienify: Image manipulation. (line 24)
* iluBlurAverage: Image manipulation. (line 38)
* iluBlurGaussian: Image manipulation. (line 38)
* iluBuildMipmaps: Image manipulation. (line 292)
* iluContrast: Image manipulation. (line 62)
* iluEqualize: Image manipulation. (line 89)
* iluErrorString: Error handling. (line 30)
* iluGammaCorrect: Image manipulation. (line 101)
* iluImageParameter: Image manipulation. (line 222)
* iluInit: Basic usage. (line 24)
* iluNegative: Image manipulation. (line 114)
* iluNoisify: Image manipulation. (line 127)
* iluPixelize: Image manipulation. (line 153)
* iluScale: Image manipulation. (line 203)
* iluSharpen: Image manipulation. (line 168)

Tag Table:
Node: Top580
Node: Introduction1176
Ref: tests10015
Node: Basic usage10878
Node: Image management19467
Ref: ilTexImage reference19611
Ref: registration29809
Node: Error handling29844
Node: Image manipulation31959
Ref: fig:stairway_original32413
Ref: fig:stairway_alienified33392
Ref: fig:stairway_blurred34476
Ref: fig:stairway_contrast35487
Ref: fig:stairway_equalized36095
Ref: fig:stairway_gamma36703
Ref: fig:stairway_negative37366
Ref: fig:stairway_noisify38023
Ref: fig:stairway_pixelize39373
Ref: fig:stairway_sharpen40529
Node: Common #defines51684
Ref: format #defines51999
Ref: type #defines52173
Ref: language #defines52394
Ref: error_codes52572
Ref: file_formats54103
Node: Sample program58682
Node: Functions index60774

End Tag Table

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coding: utf-8
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