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Noise-aware image deconvolution with multidirectional filters
Yang H.; Zhu M.; Huang H.; Zhang Z.
2013
发表期刊Applied Optics
ISSNISBN/00036935
卷号52期号:27
摘要In this paper we propose an approach for handling noise in deconvolution algorithm based on multidirectional filters. Most image deconvolution techniques are sensitive to the noise. Even a small amount of noise will degrade the quality of image estimation dramatically. We found that by applying a directional low-pass filter to the blurred image, we can reduce the noise level while preserving the blur information in the orthogonal direction to the filter. So we apply a series of directional filters at different orientations to the blurred image, and a guided filter based edge-preserving image deconvolution is used to estimate an accurate Radon transform of the clear image from each filtered image. Finally, we reconstruct the original image using the inverse Radon transform. We compare our deconvolution algorithm with many competitive deconvolution techniques in terms of the improvement in signal-to-noise ratio and visual quality. 2013 Optical Society of America.
收录类别SCI ; EI
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/40778
专题中科院长春光机所知识产出
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GB/T 7714
Yang H.,Zhu M.,Huang H.,et al. Noise-aware image deconvolution with multidirectional filters[J]. Applied Optics,2013,52(27).
APA Yang H.,Zhu M.,Huang H.,&Zhang Z..(2013).Noise-aware image deconvolution with multidirectional filters.Applied Optics,52(27).
MLA Yang H.,et al."Noise-aware image deconvolution with multidirectional filters".Applied Optics 52.27(2013).
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