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Blur kernel estimation in single noisy image deblurring
Sun SJ(孙士洁); Zhao HC(赵怀慈); Li B(李波)
Department光电信息技术研究室
Conference NameInternational Symposium on Optoelectronic Technology and Application 2014
Conference DateMay 13-15, 2014
Conference PlaceBeijing, China
Source PublicationProc. Of SPIE 9301, International Symposium on Optoelectronic Technology and Application
PublisherSPIE
Publication PlaceBellingham, WA
2014
Pages1-5
Indexed ByEI
EI Accession number20150800551716
Contribution Rank1
ISSN0277-786X
KeywordBlur Kernel Estimate Single Noisy Image Blind Deconvolution Image Deblurring
Abstract

Restoring blurred images is challenging because both the blur kernel and the sharp image are unknown, which makes this problem severely underconstrained. Recently many single image blind deconvolution methods have been proposed, but these state-of-the-art single image deblurring techniques are still sensitive to image noise, and can degrade their performance rapidly especially when the noise level of the input blurred images increases. In this work, we estimate the blur kernel accurately by applying a series of directional low-pass filters in different orientations to the input blurred image, and effectively constructing the Radon transform of the blur kernel from each filtered image. Finally, we use a robust non-blind deconvolution method with outlier handling, which can effectively reduce ringing artifacts, to generate the final results. Our experimental results on both synthetic and real-world examples show that our method achieves comparable quality to existing approaches on blurry noisy-free images, and higher quality outputs than previous approaches on blurry and noisy images.

Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/15340
Collection光电信息技术研究室
Affiliation1.University of Chinese Academy of Science, Beijing, China
2.Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, China
3.Key Laboratory of Image Understanding and Computer Vision, Liaoning Province, Shenyang, China
4.Key Laboratory of Optical-Electronics Information Processing, Chinese Academy of Science, Shenyang, China
5.Shenyang Institute of Engineering, Shenyang, China
Recommended Citation
GB/T 7714
Sun SJ,Zhao HC,Li B. Blur kernel estimation in single noisy image deblurring[C]. Bellingham, WA:SPIE,2014:1-5.
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