Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1503
Title: An efficient weight optimization algorithm for image representation using nonorthogonal basis vectors
Authors: Chan, YH 
Siu, WC 
Keywords: Algorithms
Computational complexity
Image analysis
Image quality
Image reconstruction
Mathematical transformations
Optimization
Vector quantization
Issue Date: 1998
Publisher: IEEE
Source: ISCAS '98 : proceedings of the 1998 IEEE International Symposium on Circuits and Systems : May 31-June 3, 1998, Monterey, CA, p. IV17-IV20 How to cite?
Abstract: Though image-coding techniques that employ subsets of nonorthogonal basis images chosen from two or more transform domains have been shown consistently to yield higher image quality than those based on one transform for a fixed compression ratio, they have not been widely employed due to their very high computational complicity of existing realization approaches. This paper presents a new realization approach for mixed-transform image representation. Computational complexity can be greatly reduced compared with existing approaches.
URI: http://hdl.handle.net/10397/1503
ISBN: 0-7803-4455-3
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