NTU CSIE - Information Theory and Coding Techniques, 2019 Spring, Prof. Ja-Ling Wu
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Updated
May 17, 2019
NTU CSIE - Information Theory and Coding Techniques, 2019 Spring, Prof. Ja-Ling Wu
Fourth-degree Computer Engineering subject at Universitat de Barcelona
Minimal JPEG decoder library
Implementation of Fundamental Image Processing Techniques
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
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.
Projet de l'UE TC5 sur la compression d'image au format JPEG
University work. C implementation of various image transformation techniques.
ESP32's component takes a JPEG image and coverts it to RGB888 data. This component based on Tiny JPEG Decompessor that works on low memory consumption so highly optimized for small embedded system.
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
Data compressor based on RLE + BWT + MTF + RLE + A0 and also JpegCompressor
Implementation of the JPEG compression algorithm with python, managing RGB and YUV color space, different sub-sampling options and a custom Huffman encoding.
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