[IEEE Signal Processing Letters, September 1998, pp. 221-223]
Memory Constrained Wavelet-Based Image Coding
Pamela Cosman and Kenneth Zeger
Abstract
We present a method for ordering the wavelet coefficient
information in a compressed bit stream that allows an image to be
sequentially decoded, with lower memory requirements than conventional
wavelet decompression schemes. We also introduce a hybrid
filtering scheme that uses different horizontal and vertical filters,
each with different depths of wavelet decomposition. This reduces
decoder memory requirements by reducing the instantaneous number of
wavelet coefficients needed for inverse filtering.