CImg is an open source, multi-platform, C++ library for image processing. It provides a simple and modern C++ interface to the most common image processing algorithms. It is designed to be easy to use, efficient, and powerful.
CImg stands for "C++ Image Processing Library" and it was created by David Tschumperlé in 2002.
CImg provides a wide range of image processing capabilities. It includes many of the most common image processing algorithms, such as image resizing, color space conversion, image filtering, histogram equalization, noise removal, and more. It also provides a wide range of image file formats and supports various image formats, including JPEG, PNG, TIFF, BMP, TGA, and many others.
The library is designed to be easy to use, with a simple and intuitive interface. It is also designed to be efficient and fast. It has been optimized for speed and memory usage, and it is multithreaded for improved performance.
CImg is also designed to be powerful and flexible. It provides a wide range of image processing algorithms, such as edge detection, segmentation, and image restoration. It also allows users to develop their own custom image processing algorithms.
CImg provides an easy-to-use, cross-platform, and open-source set of image processing functions for C++ developers.
Features:
- Supports a wide range of image file formats, including JPEG, PNG, TIFF, BMP, TGA, and many others.
- Provides a wide range of image processing algorithms, including image resizing, color space conversion, image filtering, histogram equalization, noise removal, and more.
- Optimized for speed and memory usage, and it is multithreaded for improved performance.
- Easy-to-use, intuitive interface.
- Develop custom image processing algorithms.
- Cross-platform compatibility, works on Windows, Linux, and Mac OS X.
- Open source and free to use.