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Multidimensional signal compression using multi-scale recurrent patterns with smooth side-match criterion

9 years 4 months ago
Multidimensional signal compression using multi-scale recurrent patterns with smooth side-match criterion
The recently proposed method for image compression based on multi-scale recurrent patterns, the MMP (Multidimensional Multiscale Parser) has been shown to perform well for a large class of images, specially for those containing text or graphics. However, its performance for coding smooth, gray scale images was still distant from the state-of-the art. In this paper we propose an extension for it, the SM-MMP (Side-match MMP). In it, as in MMP, a multidimensional signal is recursively segmented into variablelength blocks, and each segment is encoded using expansions and contractions of vectors in a dictionary. The dictionary is updated while the data is being encoded, using concatenations of expanded and contracted versions of previously encoded blocks. However, unlike MMP, in SM-MMP the dictionaries are built considering smoothness constraints around block boundaries, similarly to what happens in side-match vector quantization methods. This allows it to perform better than MMP when the ...
Eddie B. L. Filho, Murilo B. de Carvalho, Eduardo
Added 24 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2004
Where ICIP
Authors Eddie B. L. Filho, Murilo B. de Carvalho, Eduardo A. B. da Silva
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