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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chao Wang LiFeng Sun ZhuoYuan Chen ShiQiang Yang JianWei Zhang |
| Copyright Year | 2009 |
| Description | Author affiliation: Computer Science,Tsinghua Univ.,China (Chao Wang; LiFeng Sun; ZhuoYuan Chen; ShiQiang Yang) || Department Informatics, Hamburg Univ.,Germany (JianWei Zhang) |
| Abstract | Traditional non-blind motion deblurring methods are sensitive to kernel estimate errors and image noise, thus suffering from either ringing artifacts, enlarged image noise, or over-smoothed image details. We introduce a robust non-blind deblurring algorithm that produces high quality results even from many challenging images with noisy kernels. We adopt the Gaussian Scale Mixture Fields of Experts (GSM FOE) model and the smoothness constraint as image prior, and use the iterative re-weight least-square (IRLS) algorithm to produce the temporal result. The residual deconvolution suite is used to restore the lost image details. We denoise the result using our std-controlled cross bilateral filter. The experimental results are much better than those of previous approaches. |
| Starting Page | 153 |
| Ending Page | 156 |
| File Size | 1226087 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424456536 |
| ISSN | 15224880 |
| e-ISBN | 9781424456543 |
| e-ISBN | 9781424456550 |
| DOI | 10.1109/ICIP.2009.5414143 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-07 |
| Publisher Place | Egypt |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Kernel Deconvolution Image restoration GSM Pixel Laboratories Iterative algorithms Filters Convolution Frequency Image deblurring |
| Content Type | Text |
| Resource Type | Article |
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