Combining Total Variation and Nonlocal Means Regularization for Edge Preserving Image Deconvolution

We propose a new edge preserving image deconvolution model by combining total variation and nonlocal means regularization. Natural images exhibit an high degree of redundancy. Using this redundancy, the nonlocal means regularization strategy is a good technique for detail preserving image restoratio...

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Bibliographic Details
Main Authors: Binbin Hao, Jianguang Zhu
Format: Article
Language:English
Published: Computer Vision Center Press 2011-12-01
Series:ELCVIA Electronic Letters on Computer Vision and Image Analysis
Subjects:
Online Access:https://elcvia.cvc.uab.es/article/view/373