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What is SVD for Image Compression Techniques about?

The lecture discusses Spectral Decomposition, Singular Value Decomposition (SVD), and Principal Component Analysis. It highlights the application of SVD in image compression, demonstrating how different rank approximations affect compression rates. For instance, a rank-50 approximation achieves an 8% compression rate, while a rank-200 approximation achieves 32%.

Author

Teo

Language

EN