Abstract
New methods for lossy image compression based on gener- alized wavelet decompositions have been introduced recently. Unlike in the classical wavelet decomposition scheme, it is possible to use differ- ent scaling and wavelet functions at every scale by using nonstationary multiresolution analyses. This freedom in using different functions can be exploited for adaptive compression techniques. We extend this approach to arbitrary subbands (e.g., in a wavelet packet scheme), combine it with the best basis algorithm, and introduce efficient techniques for using these algorithms on parallel computers. © 1997 Society of Photo-Optical Instru- mentation Engineers. (S0091-3286(97)02805-5) Subject terms: image compression; wavelets; adaptive methods; parallel algo- rithms.
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