Abstract
We consider the restoration of an image sequence that is blurred before compression. This describes many modern imaging systems that filter an image sequence during acquisition and then compress the result. It also describes the common scenario of pre-processing an image sequence with a digital filter prior to compression. No matter the source of degradation though, we seek to recover the high-frequency information without amplifying compression artifacts. The Bayesian framework is employed, and we present recovery algorithms that correspond to two common models for compression noise. Simulations then illustrate the efficacy of both techniques for the restoration of compressed video. Qualitative and quantitative results are presented.
| Original language | English (US) |
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| Pages | 977-980 |
| Number of pages | 4 |
| State | Published - 2003 |
| Event | Proceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain Duration: Sep 14 2003 → Sep 17 2003 |
Other
| Other | Proceedings: 2003 International Conference on Image Processing, ICIP-2003 |
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| Country/Territory | Spain |
| City | Barcelona |
| Period | 9/14/03 → 9/17/03 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering