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QOI is a lossless image codec and encoding standard designed for high-speed compression and decompression of raw pixel data. It provides a toolkit for translating raw image buffers into a compact format and back into pixel representations without any loss of quality.
The main features of phoboslab/qoi are: Lossless Compression, Delta-Based Image Compression, Image Compression Standards, Image Decoding, Image Format Encoding, Lossless Image Codecs, Run Length Encoding Implementations, Lossless Optimization.
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ImageSharp is a .NET image processing library and manipulation framework used for decoding, encoding, and modifying digital images. It functions as a comprehensive toolkit for resizing, cropping, and applying pixel-level filters while managing color profiles and pixel data across various file formats. The project integrates a 2D vector graphics engine and a typography rendering engine to draw geometric shapes, paths, and complex stylized text onto images. It also includes a geometry boolean operation library for calculating intersections, unions, and differences between complex polygons and c
GoCV is a computer vision library and Go language binding for OpenCV. It serves as an image processing toolkit and deep learning inference engine, providing programmatic access to a wide range of algorithms for image manipulation, object detection, and video analysis. The project differentiates itself through high-performance native bindings and hardware acceleration. It utilizes a foreign function interface to map Go calls to C++ functions and includes a hardware-agnostic backend dispatch to route neural network tasks to computation engines such as CUDA and OpenVINO. The library covers a br
Mozjpeg is a high-performance C library for encoding, decoding, and transcoding JPEG images. It serves as a binary-compatible, drop-in replacement for standard JPEG libraries, maintaining existing function signatures to improve compression efficiency without requiring changes to application logic. The library functions as an image optimizer that reduces file sizes through lossless progressive encoding and coefficient optimization. It utilizes trellis-based quantization and SIMD-accelerated processing to optimize the trade-off between visual quality and file size. Its broader capabilities inc
FLIF is a lossless image format and compression tool designed for high fidelity image archiving. It reduces file sizes by using arithmetic entropy coding to assign shorter bit-sequences to frequent pixel patterns, ensuring zero data loss during the compression and decompression process. The system includes a progressive image decoder that renders low-resolution previews while the full bitstream continues to load. This allows for the display of image approximations before the entire file is downloaded. The toolset covers the full lifecycle of lossless image management, including image compres