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.
| Original language | English |
|---|---|
| Title of host publication | [Missing Source Name from PIRA] |
| Publisher | IEEE |
| ISBN (Print) | 0780344553 |
| Publication status | Published - 1998 |
Keywords
- Algorithms
- Computational complexity
- Image analysis
- Image quality
- Image reconstruction
- Mathematical transformations
- Optimization
- Vector quantization