Generalized wavelet decompositions in image compression: arbitrary subbands and parallel algorithms
Andreas Uhl · Optical Engineering · 1997
New methods for lossy image compression based on generalized wavelet decompositions have been introduced recently. Unlike in the classical wavelet decomposition scheme it is possible to use different scaling and wavelet functions at every scale by using non-stationary multiresolution analyses. This freedom in using different functions can be exploited for adaptive compression techniques. In this paper we extend this approach to arbitrary subbands (e.g. in a wavelet packet scheme), combine it with the best basis algorithm, and we introduce efficient techniques for using these algorithms on parallel computers.