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Image deblurring using empirical Wiener filter in the curvelet domain and joint non-local means filter in the spatial domain
Yang H.; Zhang Z. B.; Wu D. Y.; Huang H. Y.
2014
发表期刊Imaging Science Journal
ISSNISBN/1368-2199
卷号62期号:3页码:178-185
摘要In this paper, an efficient image deblurring algorithm is proposed. This algorithm restores the blurred image by incorporating a curvelet-based empirical Wiener filter with a spatial-based joint non-local means filter. Curvelets provide a multidirectional and multiscale decomposition that has been mathematically shown to represent distributed discontinuities such as edges better than traditional wavelets. Our method restores the image in the frequency domain to obtain a noisy result with minimal loss of image components, followed by an empirical Wiener filter in the curvelet domain to attenuate the leaked noise. Although the curvelet-based methods are efficient in edge-preserving image denoising, they are prone to producing edge ringing which relates to the structure of the underlying curvelet. In order to reduce the ringing, we develop an efficient joint non-local means filter by using the curvelet deblurring result. This filter could suppress the leaked noise while preserving image details. We compare our deblurring algorithm with a few competitive deblurring techniques in terms of improvement in signal-to-noise-ratio (ISNR) and visual quality.
收录类别SCI ; EI
语种英语
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/44049
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.,Zhang Z. B.,Wu D. Y.,et al. Image deblurring using empirical Wiener filter in the curvelet domain and joint non-local means filter in the spatial domain[J]. Imaging Science Journal,2014,62(3):178-185.
APA Yang H.,Zhang Z. B.,Wu D. Y.,&Huang H. Y..(2014).Image deblurring using empirical Wiener filter in the curvelet domain and joint non-local means filter in the spatial domain.Imaging Science Journal,62(3),178-185.
MLA Yang H.,et al."Image deblurring using empirical Wiener filter in the curvelet domain and joint non-local means filter in the spatial domain".Imaging Science Journal 62.3(2014):178-185.
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