Journal article
Wavelet filter evaluation for image compression
IEEE transactions on image processing, Vol.4(8), pp.1053-1060
08/1995
Handle:
https://hdl.handle.net/2376/112508
PMID: 18291999
Abstract
Choice of filter bank in wavelet compression is a critical issue that affects image quality as well as system design. Although regularity is sometimes used in filter evaluation, its success at predicting compression performance is only partial. A more reliable evaluation can be obtained by considering an L-level synthesis/analysis system as a single-input, single-output, linear shift-variant system with a response that varies according to the input location module (2/sup L/,2/sup L/). By characterizing a filter bank according to its impulse response and step response in addition to regularity, we obtain reliable and relevant (for image coding) filter evaluation metrics. Using this approach, we have evaluated all possible reasonably short (less than 36 taps in the synthesis/analysis pair) minimum-order biorthogonal wavelet filter banks. Of this group of over 4300 candidate filter banks, we have selected and present here the filters best suited to image compression. While some of these filters have been published previously, others are new and have properties that make them attractive in system design.< >
Metrics
11 Record Views
Details
- Title
- Wavelet filter evaluation for image compression
- Creators
- J.D Villasenor - Dept. of Electr. Eng., California Univ., Los Angeles, CA, USAB Belzer - Dept. of Electr. Eng., California Univ., Los Angeles, CA, USAJ Liao - Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
- Publication Details
- IEEE transactions on image processing, Vol.4(8), pp.1053-1060
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Publisher
- IEEE
- Identifiers
- 99900547429801842
- Language
- English
- Resource Type
- Journal article