Comparing Multiresolution SVD with Other Methods for Image Compression
Ryuichi Ashino, Akira Morimoto, Michihiro Nagase, Rémi Vaillancourt · Advances in Analysis · 2005
Digital image compression with multiresolution singular value decomposition is compared with discrete cosine transform, discrete 9/7 biorthogonal wavelet transform, Karhunen–Loève 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.