Abstract
In conventional block-transform coding, the compressed images are decoded using only the transmitted transform data. In this paper, we formulate image decoding as an image recovery problem. According to this approach, the decoded image is reconstructed using not only the transmitted data, but in addition, the prior knowledge that images before compression do not display blocking artifacts. A spatially-adaptive image recovery algorithm is proposed based on the theory of projections onto convex sets. Numerical experiments demonstrate that the proposed algorithm yields images superior to those from both the JPEG deblocking recommendation and a projection-based image decoding approach.
Original language | English (US) |
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Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
Publisher | Society of Photo-Optical Instrumentation Engineers |
Pages | 1477-1488 |
Number of pages | 12 |
Volume | 2308 |
Edition | p 3 |
ISBN (Print) | 081941638X |
State | Published - Dec 1 1994 |
Event | Visual Communications and Image Processing '94 - Chicago, IL, USA Duration: Sep 25 1994 → Sep 29 1994 |
Other
Other | Visual Communications and Image Processing '94 |
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City | Chicago, IL, USA |
Period | 9/25/94 → 9/29/94 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics