title: Adaptive wavelet packet basis selection for zerotree image coding.
abstract: 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.
authors.affiliation: Department of Computer Science, University ofWarwick, Coventry CV4 7AL, UK. nasir@dcs.warwick.ac.uk
authors.forename: Nasir M
authors.initials: NM
authors.lastname: Rajpoot
authors.forename: Roland G
authors.initials: RG
authors.lastname: Wilson
authors.forename: François G
authors.initials: FG
authors.lastname: Meyer
authors.forename: Ronald R
authors.initials: RR
authors.lastname: Coifman