RECURSIVE TIME-VARYING FILTER BANKS FOR SUBBAND IMAGE-CODING

Filter banks, subband/wavelets, and multiresolution decompositions tha t employ recursive filters have been considered previously and are rec ognized for their efficiency in partitioning the frequency spectrum. T his paper presents an analysis of a new infinite impulse response (IIR ) filter bank in which these computationally efficient filters may be changed adaptively in response to the input, The new filter bank frame work is presented and discussed in the context of subband image coding . In the absence of quantization errors, exact reconstruction can be a chieved, By the proper choice of an adaptation scheme, it is shown tha t recursive linear time-varying (LTV) filter banks can yield improveme nt over conventional ones.