Abstract
This paper presents a new restoration approach to reduce coding artifacts in block-transform image coding. Different from conventional restoration techniques, the proposed one is non-iterative and requires light computational cost, yet can reconstruct objectively and subjectively better images. This good performance is achieved because of the following advantages the proposed approach has: (i) efficient incorporation of the solution bound into restoration; and (ii) effective exploitation of local image properties and statistical knowledge about the quantizers used.
Original language | English |
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Title of host publication | International Conference on Image Processing : proceedings : October 26-29, 1997, Santa Barbara, California |
Publisher | IEEE |
ISBN (Print) | 0818681837 |
Publication status | Published - 1997 |
Event | IEEE International Conference on Image Processing [ICIP] - Duration: 1 Jan 1997 → … |
Conference
Conference | IEEE International Conference on Image Processing [ICIP] |
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Period | 1/01/97 → … |
Keywords
- Block codes
- Computational complexity
- Correlation methods
- Cost effectiveness
- Image coding
- Image compression
- Image quality
- Matrix algebra
- Parameter estimation
- Standards