Image coding methods based on adaptive wavelet transforms and those employing zerotree
quantization have been shown to be successful. We present a general zerotree structure for
an arbitrary wavelet packet geometry in an image coding framework. A fast basis selection
algorithm is developed; it uses a Markov chain based cost estimate of encoding the image
using this structure. As a result, our adaptive wavelet zerotree image coder has a relatively
low computational complexity, performs comparably to state-of-the-art image coders, and is …

In this paper, we explore the possibility of wedding the adaptive wavelet packet transform
with zerotree quantisation. We subject the input image to an adaptive wavelet packet
decomposition, to get a full wavelet packet tree. We present a general zerotree structure for
an arbitrary wavelet packet geometry in an image coding framework. Set Partitioning in
Hierarchical Trees (SPIHT) and Zerotree Quantisation-Wavelet (ZQ-WV) coder are the other
encoding methods. The limitations we have in these coders are that they have low …