CImg alternatives and similar libraries
Based on the "Image Processing" category.
Alternatively, view CImg alternatives based on common mentions on social networks and blogs.
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OpenMVG (open Multiple View Geometry)
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion. -
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OpenImageIO
Reading, writing, and processing images in a wide variety of file formats, using a format-agnostic API, aimed at VFX applications. -
OpenEXR
The OpenEXR project provides the specification and reference implementation of the EXR file format, the professional-grade image storage format of the motion picture industry. -
ITK
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions. -
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Video++
Video++, a C++14 high performance video and image processing library. -
GDCM
Grassroots DICOM read-only mirror. Only for Pull Request. Please report bug at http://sf.net/p/gdcm -
Boost.GIL
Boost.GIL - Generic Image Library | Requires C++11 since Boost 1.68 -
CxImage
An image processing and conversion library to load, save, display, transform BMP, JPEG, GIF, PNG, TIFF, MNG, ICO, PCX, TGA, WMF, WBMP, JBG, J2K images. [zlib] -
FreeImage
A custom distribution of FreeImage, with a CMake-based build system. Used by the Athena Game Framework. -
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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README
http://cimg.eu
The CImg Library is a small and open-source C++ toolkit for image processing, designed with these properties in mind:
CImg defines classes and methods to manage images in your own C++ code. You can use CImg to load/save various file formats, access pixel values, display/transform/filter images, draw primitives (text, faces, curves, 3d objects, ...), compute statistics, manage user interactions on images, and so on...
CImg defines a single image class able to represent datasets having up to 4-dimensions (from 1d scalar signals to 3d hyperspectral volumetric images), with template pixel types (bool,char,int,float,...). It also handles image collections and sequences.
CImg is self-contained, thread-safe and highly portable. It fully works on different operating systems (Unix,Windows,MacOS X,*BSD,...) and is compatible with various C++ compilers (Visual C++,g++,clang++,icc,...).
CImg is lightweight. It is made of a single header file CImg.h that must be included in your C++ source. It defines only four different classes, encapsulated in the namespace cimg_library. It can be compiled using a minimal set of standard C++ and system libraries only. No need for exotic or complex dependencies.
Although not mandatory, CImg can use functionalities of external tools/libraries such as Board, FFMPEG, FFTW3, GraphicsMagick, ImageMagick, Lapack, libcurl, libjpeg, libpng, libtiff, Magick++, OpenEXR, OpenCV, OpenMP or XMedCon. Moreover, a simple plug-in mechanism allows any user to directly enhance the library capabilities according to their needs.
CImg is a free, open-source library distributed under the CeCILL-C (close to the GNU LGPL) or CeCILL (compatible with the GNU GPL) licenses. It can be used in commercial applications.
CImg stands for Cool Image : It is easy to use, efficient and is intended to be a very pleasant toolbox to design image processing algorithms in C++. Due to its generic conception, it can cover a wide range of image processing applications.
*Note that all licence references and agreements mentioned in the CImg README section above
are relevant to that project's source code only.