Image compression with multiresolution singular value decomposition and other methods

Authors:
R. Ashin;A. Morimoto;R. Vaillancourt
Affiliations:
-;-;-
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
2005

Citing 5
Cited 0

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Abstract

Digital image compression with multiresolution singular value decomposition is compared with discrete cosine transform, discrete 9/7 biorthogonal wavelet transform, Karhunen-Loeve transform, and combinations thereof. The coding methods used SPIHT and run-length with Huffmann coding. The performances of these methods differ little from each other. Generally, the 9/7 biorthogonal wavelet transform is superior for most images that were tested for given compression rates. But for certain block transforms and certain images other methods are slightly superior.