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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)
作者部门光电信息技术研究室
会议名称International Symposium on Optoelectronic Technology and Application 2014
会议日期May 13-15, 2014
会议地点Beijing, China
会议录名称Proc. Of SPIE 9301, International Symposium on Optoelectronic Technology and Application
出版者SPIE
出版地Bellingham, WA
2014
页码1-5
收录类别EI
EI收录号20150800551716
产权排序1
ISSN号0277-786X
关键词Blur Kernel Estimate Single Noisy Image Blind Deconvolution Image Deblurring
摘要

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.

语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/15340
专题光电信息技术研究室
作者单位1.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
推荐引用方式
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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