Implementation of Fundamental Image Processing Techniques
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Updated
Sep 3, 2022 - Python
Implementation of Fundamental Image Processing Techniques
Babes Bolyai University - Audio & Video Data Processing course (project)
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.
Implementation of the JPEG compression algorithm with python, managing RGB and YUV color space, different sub-sampling options and a custom Huffman encoding.
Encoder performs discrete cosine transform & quantization to compress image, while decoder reconstruct the original image using NumPy, Skimage, Math, SciPy modules
A Python Program that converts JPEG to PNG using Pillow Module
Detecting cells in image using blob detection & use water washed segmentation to find boundaries of detected cell
Optimize any image by chroma subsampling and optimized huffman coding in Python. Basically, using JPEG algorithm!
A JPEG decoder made in Python, that supports both baseline (sequential) and progressive images.
PNG and JPEG decoder / parser / renderer in pure micropython
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