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
A JPEG (JFIF\Progressive) entirely written in C
Babes Bolyai University - Audio & Video Data Processing course (project)
Grayscale image compression using the Bidimensional Discrete Cosine Transform (DCT)
Implementation of the JPEG compression algorithm with python, managing RGB and YUV color space, different sub-sampling options and a custom Huffman encoding.
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.
a minimalistic Baseline JPEG-decoder / JPG-file-reader, less than 800 lines of C and configurable to spit out A LOT of internal data
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
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