Adaptive wavelet packet basis selection for zerotree image coding.
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 capable of progressively encoding images.
Rajpoot
Nasir M
NM
Department of Computer Science, University ofWarwick, Coventry CV4 7AL, UK. nasir@dcs.warwick.ac.uk
Wilson
Roland G
RG
Meyer
François G
FG
Coifman
Ronald R
RR