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题名: Blur kernel estimation in single noisy image deblurring
作者: 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: Proc. Of SPIE 9301, International Symposium on Optoelectronic Technology and Application
会议录出版者: SPIE
会议录出版地: Bellingham, WA
出版日期: 2014
页码: 1-5
收录类别: EI
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.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/15340
Appears in Collections:光电信息技术研究室_会议论文

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Recommended Citation:
Sun SJ,Zhao HC,Li B. Blur kernel estimation in single noisy image deblurring[C]. 见:International Symposium on Optoelectronic Technology and Application 2014. Beijing, China. May 13-15, 2014.
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文件名: Blur kernel estimate in single noisy image deblurring.pdf
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