Comparing Multiresolution SVD with Other Methods for Image Compression

Digital image compression with multiresolution singular value decomposition is compared with discrete cosine transform, discrete 9/7 biorthogonal wavelet transform, Karhunen–Loeve transform, and a hybrid wavelet-svd transform. Compression uses 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. To appear in Proc. Fourth ISAAC Congress (York University), H. Begehr, R. P. Gilbert, M. Muldoon, and M. W. Wong, eds., Kluwer.

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