![]() ![]() This page contains several Matlab functions, m-files, a brief explanation and some examples for image compression. The standard JPEG format is also supportedīut the compression rate is not as good as expected, perhaps the overhead information is relatively large. The effective JPEG-2000 format (JP2 option). The latest versions (from R2010b) also support Many of them include effective compression. Which is used as a reference compression scheme here.Īlso Matlab commands imwrite and imread supports several image formats, Some examples are the Matlab implementation of Many different image compression schemes exist, and several, often completely, different methods can be usedįor each of the different steps in an image compression scheme, and the different methods can often be combined in any way. Has a chapter on compression of facial images. Elad's (2010) book "Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing"."Image compression using learned dictionaries by RLS-DLA and compared with K-SVD" by Skretting and Engan. ![]() "Sparse representation of images using overlapping frames" by Skretting et al. "Improved huffman coding using recursive splitting" by Skretting et al. ![]() The Dictionary Learning Tools for Matlab web page.The Entropy Coding web page, Huffman and Aritmetic Coding in Matlab.The SPIHT web page containing image compression code.Using dictionaries for sparse representation.Relevant papers and links to other pages: ![]()
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January 2023
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