Noise-aware image deconvolution with multidirectional filters

	Noise-aware image deconvolution with multidirectional filters
	Yang H.; Zhu M.; Huang H.; Zhang Z.
	2013
发表期刊	Applied Optics
ISSN	ISBN/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
推荐引用方式 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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