lossy-image-compression
There are 19 repositories under lossy-image-compression topic.
libjxl/libjxl
JPEG XL image format reference implementation
ComunidadAylas/PackSquash
📦 Minecraft: Java Edition resource and data pack optimizer which aims to achieve the best possible compression, performance and protection, improving pack distribution, storage and in-game load times.
GrokImageCompression/grok
World's Leading Open Source JPEG 2000 Codec
aous72/OpenJPH
Open-source implementation of JPEG2000 Part-15 (or JPH or HTJ2K)
alexandru-dinu/cae
Compressive Autoencoder.
duanzhiihao/lossy-vae
Authors' PyTorch implementation of lossy image compression methods based on hierarchical VAEs
haimengzhao/CAE-ADMM
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
ComunidadAylas/PackSquash-action
▶️ Action to run PackSquash in a GitHub Actions workflow.
duanzhiihao/qres-vae
Authors' PyTorch implementation of "Lossy Image Compression with Quantized Hierarchical VAEs"
osamu620/MatHTJ2K
A MATLAB implementation of JPEG 2000 Part 1 and Part 15 (HTJ2K) that complies with the conformance testing defined in JPEG 2000 Part 4. The goal of MatHTJ2K is to help a person who wants to develop an HTJ2K-based image compression system to understand the algorithms defined in HTJ2K.
phenopolis/grok.cr
Crystal bindings for Grok
rainerzufalldererste/limg
An experimental image codec based on linear factor decomposition
jonesmartins/pycrusher
Crush your JPEGs for fun!
viniavskyi-ostap/ImageCompression
Lossy image compression using Singular Value Decomposition
xdsopl/svd
Playing with lossy image compression based on the singular value decomposition
malaterre/charls-tools
CharLS Tools, a set of command line tools to CharLS JPEG-LS library
ssootube/image-compression-simulation-using-EVD-Eigen-Value-Decomposition-
image compression simulation using EVD(Eigen Value Decomposition)
hidiryuzuguzel/Image-Compression-Codec
DCT-based lossy image compression codec (similar to a JPEG codec)
mgp123/lossy-compression
Some algorithms for lossy compression of images