Paper Info
Title
Optimal bit allocation for biorthogonal wavelet coding
Abstract
This paper shows how to derive bit allocations for biorthogonal wavelet coders which result in minimum reconstruction error. It is shown that the effect of using biorthogonal filters is to weight the amount of quantization error which appears in the reconstructed output. The amount of weighting can be determined from the biorthogonal filters used and is a measure of the closeness of the biorthogonal filters to the class of orthogonal filters. Once the weights are computed, they can be used to derive bit allocations which minimize the output mean square error (MSE). These results extend previous results since no bit allocation procedures have been proposed for biorthogonal wavelet coders which minimize the MSE.
Year
DOI
Venue
1996
10.1109/DCC.1996.488344
Data Compression Conference
Keywords
Field
DocType
digital filters,image coding,image reconstruction,least mean squares methods,transform coding,wavelet transforms,biorthogonal filters,biorthogonal wavelet coder,biorthogonal wavelet coding,minimum reconstruction error,optimal bit allocation,output mean square error,quantization error,weighting
Weighting,Digital filter,Transform coding,Mean squared error,Theoretical computer science,Biorthogonal system,Quantization (signal processing),Mathematics,Biorthogonal wavelet,Wavelet transform
Conference
ISBN
Citations 
PageRank 
0-8186-7358-3
46
9.75
References 
Authors
7
1
Name
Order
Citations
PageRank
B. Usevitch14710.18