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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lingwei Chen Xinyu Chen Ping Guo |
| Copyright Year | 2008 |
| Description | Author affiliation: Image Process. & Pattern Recognition Lab., Beijing Normal Univ., Beijing (Lingwei Chen; Xinyu Chen; Ping Guo) |
| Abstract | Regularization method has been widely used in blind image restoration. Most regularization operators, however, are applied uniformly without considering difference of edge regions, which results in an unsolved trade-off conflict between smooth and edge regions. In this paper, we apply suitable regularization operators to smooth regions and edge regions respectively according to their characteristics instead of a global and constant one, and further employ the wavelet technique to control the noise amplification in order to improve the quality of divisional regularization. Experiment results show that our proposed Divisional Regularization and Wavelet Technique (DRWT) can deblur effectively without ringing effect in the restored images, thus improves edge restoration and reduces noise amplification. |
| Starting Page | 476 |
| Ending Page | 480 |
| File Size | 972972 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769533049 |
| DOI | 10.1109/ICNC.2008.884 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Additive noise Smoothing methods Image processing Noise reduction Divisional regularization Image restoration Pattern recognition DRWT Degradation Wavelet Layout Hafnium Region 4 Blind image restoration |
| Content Type | Text |
| Resource Type | Article |
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