Nasir M. Rajpoot1,2, Francois G. Meyer3, Roland G. Wilson1, and Ronald R. Coifman2
1Department of Computer Science, University of Warwick, Coventry, UK 2Department of Mathematics, Yale University, New Haven, CT 3Department of Computer Science, Yale University, New Haven, CT
Wavelet packets are an effective representation tool for
adaptive waveform analysis of a given signal. We first combine
the wavelet packet representation with zerotree quantization
for image coding.
A general zerotree structure is defined which can adapt itself
to any arbitrary wavelet packet basis. We then describe an efficient
coding algorithm based on this structure.
Finally, the hypothesis for prediction of
coefficients from coarser scale to finer scale is tested and
its effectiveness is compared with that of zerotree hypothesis for wavelet
coefficients.