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SVD Applications in Image Compression by SRISHTY SUMAN is a document available to read on EtoBox.

The document discusses two applications of the singular value decomposition (SVD). First, it describes how SVD can be used for image compression by reconstructing an image from only its most important modes, as determined by the singular values. Second, it discusses how SVD was used to analyze patterns in mid-ocean ridge topography data by representing the topography profiles as combinations of empirical orthogonal functions extracted via SVD.

Author
SRISHTY SUMAN
Language
EN