matzewolf/Image_com​pression_SVD

Version 1.3.0.0 (1.62 MB) by matzewolf
Image Compression using Singular Value Decomposition (SVD) in MATLAB.
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Updated 11 Jan 2018
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svd_compress.m is a function that gets an image and the desired compression parameter and returns the compressed image.
svd_lena_script.m is an example script that demonstartes, analyzes and visualizes the algorithm with the famous "Lena" image.
svd_lena_live.mlx is a live script suitable for presentations about the SVD Image Compression algorithm.
Both scripts take Lena.bmp as an input and save a compressed version of it into ReducedLena.bmp.

Cite As

matzewolf (2026). matzewolf/Image_compression_SVD (https://github.com/matzewolf/Image_compression_SVD), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2017a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Denoising and Compression in Help Center and MATLAB Answers
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Version Published Release Notes
1.3.0.0

Save figures, minor improvements and fixes.
1.2.0.0

Added more detailed analysis of information-theoretical concepts.
1.1.0.0

Rearranged files and added function.
1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.