Singular Value Decomposition for Image Processing: Methods and Applications
Singular value decomposition (SVD) has significant practical value in image processing. It decomposes the image into different levels of information with varying amounts of information. The most important application is image compression. At the same time, it is also the mathematical basis for image denoising and water...