【摘 要】
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In this talk,we focus on the challenging problem of removing the spatially varying out-of-focus blur from a single natural image.We first propose an effecti
【出 处】
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Computational Biomedical Imaging Workshop(2015计算生物医学成像研讨会)
论文部分内容阅读
In this talk,we focus on the challenging problem of removing the spatially varying out-of-focus blur from a single natural image.We first propose an effective method to estimate the blur map by the total variation refinement on Holder coefficient,then discuss the properties of the corresponding kernel matrix.A tight-frame based energy functional,whose minimizer is related to the optimal deblurring result,is thus built.For tackling functional more efficiently,we describe the numerical procedure based on an accelerated primal-dual scheme.To verify the effectiveness of our method,we compare it with some state-of-the-art schemes using both synthesized and natural images.Experimental results demonstrate that the proposed method performs better than the compared methods.
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