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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jianlin Zhang Qiheng Zhang |
| Copyright Year | 2007 |
| Description | Author affiliation: Chinese Acad. of Sci., Chengdu (Jianlin Zhang; Qiheng Zhang) |
| Abstract | Loss of image quality due to degradation has seriously bad effect on the post-analyzing and postprocessing of image. Blind restoration of degraded image is usually required to improve the image quality, for the reason that the degradation is partially or completely unknown in many practical situations. Commonly, using the APEX method can effectively accomplish the blind restoration when a significant class of degradation (Levy stable processes) is considered, but noise is unexpectedly amplified in the process. In this paper, a novel method is proposed to both suppress the noise effect and improve the image quality. The performance of the method is investigated with experiments on real degraded images. The noniterative property of this method makes its application and implementation in real-time image processing systems be easy. |
| Starting Page | 164 |
| Ending Page | 168 |
| File Size | 536605 |
| Page Count | 5 |
| File Format | |
| ISBN | 0769529291 |
| DOI | 10.1109/ICIG.2007.55 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-22 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Degradation Image quality Graphics Optical losses Real time systems Convolution Image processing Educational institutions Image restoration Optical noise |
| Content Type | Text |
| Resource Type | Article |
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