# flif-hub/flif

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/flif-hub-flif).**

_How this analysis was created: the description and tags below were written by an AI model that read this project's README and public documentation pages; stars, license and language come straight from the GitHub API. The model does not read the source code._

3,746 stars · 232 forks · C++ · NOASSERTION

## Links

- GitHub: https://github.com/FLIF-hub/FLIF
- awesome-repositories: https://awesome-repositories.com/repository/flif-hub-flif.md

## Topics

`decoder` `encoder` `flif` `image-compression` `lossless-compression-algorithm`

## Description

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 compression, decoding, and decompression for the recovery of original pixel data.

## Tags

### Graphics & Multimedia

- [Lossless Compression](https://awesome-repositories.com/f/graphics-multimedia/media-processing-analysis/media-manipulation/image-processing/image-compression-tools/lossless-compression.md) — Reduces image file sizes using arithmetic coding while preserving every original pixel for perfect reproduction. ([source](https://github.com/flif-hub/flif#readme))
- [Entropy Coding Models](https://awesome-repositories.com/f/graphics-multimedia/entropy-coding-models.md) — Uses mathematical frequency tracking to represent image data more efficiently than fixed-length coding.
- [High Fidelity Image Archiving](https://awesome-repositories.com/f/graphics-multimedia/high-fidelity-image-archiving.md) — Preserves every original detail of visual data for long-term preservation and recovery.
- [Image Compressors](https://awesome-repositories.com/f/graphics-multimedia/image-compressors.md) — Provides a tool that reduces image file sizes by assigning shorter bit-sequences to frequent pixel patterns.
- [Arithmetic Entropy Encoding](https://awesome-repositories.com/f/graphics-multimedia/image-encoding-libraries/arithmetic-entropy-encoding.md) — Implements arithmetic entropy encoding to maximize compression efficiency by assigning shorter bit-sequences to frequent pixel patterns.
- [Lossless Image Codecs](https://awesome-repositories.com/f/graphics-multimedia/lossless-image-codecs.md) — Provides software for decoding images without any loss of quality to restore original pixel data. ([source](https://github.com/flif-hub/flif#readme))
- [Progressive Image Decoders](https://awesome-repositories.com/f/graphics-multimedia/media-processing-analysis/media-manipulation/media-processing-workflows/image-processing-pipelines/image-format-decoders/native-image-decoders/progressive-image-decoders.md) — Provides a decoder that renders low-resolution previews incrementally as the image bitstream is downloaded.

### Data & Databases

- [Image Archiving](https://awesome-repositories.com/f/data-databases/lossless-data-archiving/image-archiving.md) — Stores visual data with perfect fidelity to ensure zero data loss during long-term preservation.

### Repository Format

- [Lossless Image Formats](https://awesome-repositories.com/f/repository-format/lossless-image-formats.md) — Implements a specialized binary format using arithmetic entropy coding for bit-perfect storage of image data.

### User Interface & Experience

- [Progressive Image Loading](https://awesome-repositories.com/f/user-interface-experience/ui-components/image-view-components/image-thumbnails/remote-image-loaders/progressive-image-loading.md) — Renders low-resolution previews of images incrementally while the full file data continues to load.