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http://hdl.handle.net/10397/1503
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| Title: | An efficient weight optimization algorithm for image representation using nonorthogonal basis vectors |
| Authors: | Chan, Yuk-hee
Siu, Wan-chi |
| Subjects: | Algorithms
Computational complexity
Image analysis
Image quality
Image reconstruction
Mathematical transformations
Optimization
Vector quantization |
| Issue Date: | 1998 |
| Publisher: | IEEE |
| Citation: | ISCAS '98 : proceedings of the 1998 IEEE International Symposium on Circuits and Systems : May 31-June 3, 1998, Monterey, CA, p. IV17-IV20. |
| 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. |
| Rights: | © 1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| Type: | Conference Paper |
| URI: | http://hdl.handle.net/10397/1503 |
| ISBN: | 0-7803-4455-3 |
| Appears in Collections: | EE Conference Papers & Presentations
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