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| Content Provider | IET Digital Library |
|---|---|
| Author | Gao, Qiong Qu, Weidong Zhang, Yanxiu Ma, Na Lei, Ping |
| Abstract | The role of approximation coefficients (ACs) in blind image deconvolution (BID) is examined by restoring each sub-band image individually in the wavelet domain, and excellent performance is achieved by an average strategy for the estimation of AC. The most important observation is that accurate deconvolution of AC is not necessary and some form of hybrid can reach a balance between sharpness and contrast. This finding leads to reappraising the common treatment of wavelet coefficients in deconvolution, which takes the coefficients in every sub-band as a unity. It is argued that the AC of the blurred image can be regarded as a good approximation of the ‘true’ image with lower resolution. Wavelet transform of one level is preferred in the implementation and the difference between the method and common multiscale approach is stressed. With specific treatment of AC, the proposed method can be combined with many other BID algorithms to improve deconvolution performance. |
| Starting Page | 504 |
| Ending Page | 505 |
| Page Count | 2 |
| ISSN | 00135194 |
| Volume Number | 54 |
| e-ISSN | 1350911X |
| Issue Number | Issue 8, Apr (2018) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/el/54/8 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/el.2017.3445 |
| Journal | Electronics Letters |
| Publisher Date | 2018-03-09 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Approximation Theory Approximation Wavelet Coefficient BID Algorithm Blind Image Deconvolution Computer Vision And Image Processing Technique Deconvolution Image Restoration Integral Transforms in Numerical Analysis Optical, Image And Video Signal Processing Wavelet Transform |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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