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phoboslab avatar

phoboslab/qoi

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Qoi

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 implementation focuses on fast image encoding and decoding, enabling the rapid conversion of compressed image data back into raw pixels. It also supports image format conversion to ensure compatibility across different software systems and hardware.

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Features

  • Lossless Compression - Provides a high-speed lossless image compression format for efficient storage and retrieval.
  • Delta-Based Image Compression - Encodes numerical differences between adjacent pixels to minimize the stored image size.
  • Image Compression Standards - Implements the QOI lossless image encoding standard for high-speed compression and decompression.
  • Image Decoding - Reconstructs raw pixel representations from compressed image data formats.
  • Image Format Encoding - Converts raw pixel buffers into a compact lossless format for efficient storage.
  • Lossless Image Codecs - Implements a high-speed, lossless image codec for efficient pixel data translation.
  • Run Length Encoding Implementations - Stores consecutive pixels of the same color as a single value and a count to reduce data size.
  • Lossless Optimization - Recovers exact original color values without approximation or quantization.
  • Image Format Translators - Translates image data between different formats to ensure cross-system and hardware compatibility.
  • Image Encoding Libraries - Provides a toolkit for translating raw image data into a compact format and back to pixel buffers.
  • Programming Utilities - Fast, lossless image compression format and library.
  • Texture and Material Tools - Fast, lossless image compression format.
  • Texture Processing and Generation - Fast, lossless image compression format.
  • Image Processing - Fast, lossless image compression format.
7,492 stars·378 forks·C·MIT·19 views

Star history

Star history chart for phoboslab/qoiStar history chart for phoboslab/qoi

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

Frequently asked questions

What does phoboslab/qoi do?

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.

What are the main features of phoboslab/qoi?

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.

Which projects share features with phoboslab/qoi?

Projects with overlapping indexed features include: sixlabors/imagesharp — ImageSharp is a .NET image processing library and manipulation framework used for decoding, encoding, and modifying… hybridgroup/gocv — GoCV is a computer vision library and Go language binding for OpenCV. It serves as an image processing toolkit and… mozilla/mozjpeg — Mozjpeg is a high-performance C library for encoding, decoding, and transcoding JPEG images. It serves as a… flif-hub/flif — FLIF is a lossless image format and compression tool designed for high fidelity image archiving. It reduces file sizes… imazen/imageflow — Imageflow is a high-performance image manipulation library and composition engine available as a C-compatible library,… image-rs/image — This is a Rust image processing library designed for encoding and decoding various image file formats and manipulating…

Projects sharing features with Qoi

These projects share indexed features with Qoi. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • sixlabors/imagesharpSixLabors avatar

    SixLabors/ImageSharp

    7,954View on GitHub↗

    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

    C#bmpc-sharpdrawing
    View on GitHub↗7,954
  • hybridgroup/gocvhybridgroup avatar

    hybridgroup/gocv

    7,463View on GitHub↗

    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

    Go
    View on GitHub↗7,463
  • mozilla/mozjpegmozilla avatar

    mozilla/mozjpeg

    5,685View on GitHub↗

    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

    C
    View on GitHub↗5,685
  • flif-hub/flifFLIF-hub avatar

    FLIF-hub/FLIF

    3,746View on GitHub↗

    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

    C++decoderencoderflif
    View on GitHub↗3,746
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