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题名: Kernel estimation for robust motion deblurring of noisy and blurry images
作者: Sun SJ(孙世杰); Zhao HC(赵怀慈); Li B(李波); Hao MG(郝明国); Lv JF(吕进锋)
作者部门: 光电信息技术研究室
关键词: blind image deblurring ; noisy and blurry image ; salient structure ; image edge ; kernel estimation
刊名: Journal of Electronic Imaging
ISSN号: 1017-9909
出版日期: 2016
卷号: 25, 期号:3, 页码:1-12
收录类别: SCI ; EI
产权排序: 1
项目资助者: General Scientific Research Project of Education Department of Liaoning of China under Grant No. L2015368
摘要: Most state-of-the-art single image blind deblurring techniques are still sensitive to image noise, leading to serious performance degradation in their blur kernel estimation when the input image noise increases. We found that reliable kernel estimation could not be given by directly using denoising and existing deblurring algorithms in many cases. We focus on how to estimate a good blur kernel from a noisy blurred image via using the image structure. First, we applied denoising as a preprocess to remove the input image noise and then computed salient image structure of the denoised result based on the total variation model. We also applied a gradient selection method to remove those salient edges that have a possible adverse effect on blur kernel estimation. Next, we adopted a two-phase estimation strategy to obtain higher quality blur kernel estimation by jointly applying kernel estimation from salient image structure and iterative support detection (ISD) kernel refinement. Finally, we used the nonblind deconvolution method based on sparse prior knowledge to restore the latent image. Extensive experiments testify to the superiority of the proposed method over state-of-the-art algorithms, both qualitatively and quantitatively. 
语种: 英语
WOS记录号: WOS:000381379600019
WOS标题词: Science & Technology ; Technology ; Physical Sciences
类目[WOS]: Engineering, Electrical & Electronic ; Optics ; Imaging Science & Photographic Technology
关键词[WOS]: BLIND DECONVOLUTION ; REGULARIZATION ; FILTERS ; CAMERA
研究领域[WOS]: Engineering ; Optics ; Imaging Science & Photographic Technology
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/18724
Appears in Collections:光电信息技术研究室_期刊论文

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Recommended Citation:
Sun SJ,Zhao HC,Li B,et al. Kernel estimation for robust motion deblurring of noisy and blurry images[J]. Journal of Electronic Imaging,2016,25(3):1-12.
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