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abac

adaptive arithmetic coder

algorithms_and_data_structures

180+ Algorithm & Data Structure Problems using C++

ant_game

bjontegaard-matlab

bjontegaard-python

This repository contains scripts to calculate the famous Bjontegaard-Delta metric with different interpolation functions.

bjontegaard_etro

Excel VBA code for calculating Bjontegaard Delta SNR and Rate, using arbitrary number of data points. Complies with VCEG-M33 when using 4 data points.

bpp_vs_compression

colour

Colour Science for Python

compression

Data compression in TensorFlow

cplusplus20fundamentalslivelessons

Source code examples for our **C++20 Fundamentals LiveLessons** Videos

createdir

This is simple code that creates directory. Both Linux and Windows are supported.

dbench_jumbf_cli

dcraw

Mirror of Dave Coffin's dcraw, with full history

elmax

Portable Elmax XML DOM/SAX Parser

folderfileslist

This code list all the files present in a directory with specific extension

gmis_es7_ctc

gmis_metadata_exploration

guetzli

Perceptual JPEG encoder

hackerrank-questions-library

A small library for the solution of C++ Hackerrank questions, start from the easy level question to hard one.

hologram_python

grad_image 2 hologram

imagecodingresearchtools

invcompress

[ACMMM 2021 Oral] Enhanced Invertible Encoding for Learned Image Compression

it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

jed

JPG Encoder/Decoder

jpeg2yuv_decoder

This project decode 1 or more jpeg images using libjpeg_turbo and writes the decoded images to single .yuv file.

jpeg_recompression_exploration

jumbf-standalone-test-files

An exhaustive list of JUMBF standalone files with all possible configurations as described in 19566-5 standard

jumbf-type-checker

Unlock the secrets within JPEG files using JUMBF-Type-Checker, a tool designed to detect and identify JUMBF Type in JPEG images, enhancing your digital forensics capabilities.

jumbf2_lib

learned-image-compression-with-gmm-and-attention

Repository of the paper "Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules"