CImg is a lightweight C++ toolkit for developing image-processing applications. It provides classes and methods for loading, saving, displaying, transforming, filtering and analysing images, while requiring only a single header file.
The library can represent datasets with up to four dimensions, ranging from one-dimensional signals to hyperspectral volumetric images. Its template-based design supports numerous pixel types, together with image collections and sequences.
This is free and open source software.
Key Features
- Distributed as a single C++ header file.
- Loads and saves images in numerous file formats.
- Accesses and manipulates individual pixel values.
- Transforms, filters and analyses image data.
- Displays images and manages interactive user input.
- Draws text, geometric primitives, curves and 3D objects.
- Computes image statistics and other measurements.
- Represents datasets with up to four dimensions.
- Supports templated pixel types, image collections and sequences.
- Self-contained, thread-safe and highly portable.
- Works with GCC, Clang, Visual C++ and other C++ compilers.
- Offers optional integration with FFmpeg, FFTW, ImageMagick, OpenCV, OpenEXR and other libraries.
- Provides a plug-in mechanism for extending its capabilities.
- Includes example programs and comprehensive API documentation.
Website: github.com/GreycLab/CImg
Support:
Developer: David Tschumperlé.
License: CeCILL-C Free Software License Agreement OR CeCILL Free Software License Agreement
CImg is written in C++. Learn C++ with our recommended free books and free tutorials.
Related Software
| Image Processing Libraries | |
|---|---|
| matplotlib | Python 2D plotting library |
| OpenCV | Library that includes several hundreds of computer vision algorithms |
| VIPS | Fast image processing library with low memory requirements |
| SciPy | Scientific Computing Tools for Python |
| Pillow | Fork of the Python Imaging Library |
| Pillow-SIMD | Highly optimized downstream Pillow fork |
| scikit-image | Collection of algorithms for image processing |
| ImageMagick | Uses multiple computational threads to increase performance |
| GraphicsMagick | Billed as the Swiss army knife of image processing. |
| GEGL | Generic Graphics Library |
| Mahotas | Library of fast computer vision algorithms |
| SimpleITK | Image analysis toolkit with a large number of components |
| Netpbm | Toolkit for manipulation of graphic images |
| LibGD | Library for the dynamic creation of images by developers |
Read our verdict in the software roundup.
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