Abstract
In this paper, iterative projection algorithms are presented to reconstruct visually pleasing images from Block Discrete Cosine Transform (BDCT) compressed image data. Two algorithms are proposed. The first is based on the theory of Projections Onto Convex Sets (POCS). The second is motivated by the theory of POCS. Experimental results are presented which demonstrate that the proposed algorithms yield superior images to those obtained by direct reconstruction from the compressed data only.
| Original language | English (US) |
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| Title of host publication | Image and Multidimensional Signal Processing |
| Publisher | Publ by IEEE |
| Volume | 5 |
| ISBN (Print) | 0780309464 |
| State | Published - Jan 1 1993 |
| Event | IEEE International Conference on Acoustics, Speech and Signal Processing, Part 5 (of 5) - Minneapolis, MN, USA Duration: Apr 27 1993 → Apr 30 1993 |
Other
| Other | IEEE International Conference on Acoustics, Speech and Signal Processing, Part 5 (of 5) |
|---|---|
| City | Minneapolis, MN, USA |
| Period | 4/27/93 → 4/30/93 |
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Acoustics and Ultrasonics