A new flexible bi-orthogonal filter design for multiresolution filterbanks with application to image compression

Author

Polyak, Nikolay ; Pearlman, William A.

Author_Institution

Dept. of Electr., Comput., & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA

Volume

48

Issue

8

fYear

2000

fDate

8/1/2000 12:00:00 AM

Firstpage

2279

Lastpage

2288

Abstract

We propose a new fast method with great potential for multiresolution pyramid decomposition of signals and images. The method allows unusual flexibility in choosing a filter for any task involving the multiresolution analysis and synthesis. Using our method, one can choose any low-pass filter for the multiresolution filtering. This method enabled us to choose the best filters for set partitioning in hierarchical trees (SPIHT) image compression for the corresponding support sizes. The compression results for our seven tap filters are better than those of the 9/7 wavelet filters and approximately the same as those of the 10/18 filters, while at the same time our seven tap filters are faster than 10/18 filters

Keywords

channel bank filters; data compression; digital filters; image coding; image resolution; low-pass filters; network synthesis; transform coding; wavelet transforms; SPIHT; bi-orthogonal filter design; compression results; image coding; image compression; image decomposition; low-pass filter; multiresolution analysis; multiresolution filterbanks; multiresolution filtering; multiresolution pyramid decomposition; multiresolution synthesis; set partitioning in hierarchical trees; signal decomposition; tap filters; wavelet filters; Channel bank filters; Filter bank; Filtering; Image coding; Image reconstruction; Image resolution; Low pass filters; Signal processing; Signal resolution; Wavelet transforms;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.852009

Filename

852009