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SVD Based Image Compression Using Low Rank Approximation
0:40
YouTubeJC-PhysicsMath
SVD Based Image Compression Using Low Rank Approximation
This JC Mini Lecture explains how singular value decomposition compresses grayscale images by keeping only the most important components. A grayscale image is decomposed into orthogonal modes, and then reconstructed using a selected number of top singular values. The comparison across different ranks shows how image quality improves as more ...
271 views3 days ago
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