Implementation of Fundamental Image Processing Techniques
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Updated
Sep 3, 2022 - Python
Implementation of Fundamental Image Processing Techniques
NTU CSIE - Information Theory and Coding Techniques, 2019 Spring, Prof. Ja-Ling Wu
Fourth-degree Computer Engineering subject at Universitat de Barcelona
Inofficial Mirror for all public releases of jpeglib, the C reference implementation for the JPEG image file format by the independent JPEG group. This repository tracks public releases, so you can use it as a submodule or to inspect version differences. Official sources at https://jpegclub.org/reference/reference-sources/
Minimal JPEG decoder library
Babes Bolyai University - Audio & Video Data Processing course (project)
Grayscale image compression using the Bidimensional Discrete Cosine Transform (DCT)
A JPEG (JFIF\Progressive) entirely written in C
a minimalistic Baseline JPEG-decoder / JPG-file-reader, less than 800 lines of C and configurable to spit out A LOT of internal data
Implementation of the JPEG compression algorithm with python, managing RGB and YUV color space, different sub-sampling options and a custom Huffman encoding.
A Java command-line tool for decoding baseline jpeg images (supports chroma subsampling).
This Python repository provides an implementation for JPEG image compression with both low and high compression modes. The script employs various transformations and compression techniques to optimize the file size of JPEG images while preserving acceptable image quality.
Go bindings for libjpeg-turbo
Encoder performs discrete cosine transform & quantization to compress image, while decoder reconstruct the original image using NumPy, Skimage, Math, SciPy modules
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