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 complexity 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.
Original language | English |
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Pages (from-to) | 193-195 |
Number of pages | 3 |
Journal | IEEE Signal Processing Letters |
Volume | 5 |
Issue number | 8 |
DOIs | |
Publication status | Published - 1 Dec 1998 |
Keywords
- Image coding
- Image representation
- Matching pursuits
- Nonorthogonal transform
ASJC Scopus subject areas
- Signal Processing
- Applied Mathematics
- Electrical and Electronic Engineering