Multiwavelet and Image Compression
P R Deshmukh, Ashok A. Ghatol · IETE Journal of Research · 2002
Advances in wavelet transforms and quantization methods have produced algorithms capable of surpassing the existing image compression standards like the Joint Photographic Experts Group (JPEG) algorithm. For best performance in image compression, wavelet transforms require filters that combine a number of desirable properties, such as orthogonality and symmetry. However, the design possibilities for wavelets are limited because they cannot simultaneously possess all of these desirable properties. The relatively new field of Multiwavelets shows promise in removing some of the limitations of wavelets. Multiwavelets offer more design options and hence can combine all desirable transform features. It also shows that the latest Multiwavelet filters can give performance equal to, or in many cases superior to, the current wavelet filters. The performance of Multiwavelet packets is also explored and is shown to be competitive to that of wavelet packets in some cases.