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论文类型：期刊论文

发表时间：2013-11-01

发表刊物：Journal of Information and Computational Science

收录刊物：EI、Scopus

卷号：10

期号：16

页面范围：5083-5091

ISSN号：15487741

摘要：Image deblurring is a longstanding problem in digital image processing and computer vision community. In this paper, we propose a new single image blind deconvolution method. For kernel estimation, salient edges are extracted from blurred image to increase the robustness of kernel estimation. To preserve the natural properties of latent images, we employ a powerful natural image prior to guide the latent image restoration. An efficient and fast optimization method is proposed to solve our proposed model. We have extensively tested our algorithm, and found that is able to provide correct kernel estimates and sharp images. ? 2013 Binary Information Press.