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Non-local Means(NLM) is increasingly popular in image denoising. In this paper, the nonlocal structure similarity of images obtained by the iteration is exploited. By combining the nonlocal similarity constraints with total variation regularization, an iterative regularized variational model is proposed, in which the nonlocal weight depends on local structure of patches. An effective algorithm is...
Image denoising is an important problem in image processing since noise may interfere with visual or automatic interpretation. This paper proposes a novel Nonlocal Total Variation (NLTV) regularization method to reduce noise in digital images. The data fidelity term in variational framework of NLTV is implemented via iterative nonlocal means, which can preserve the structure information in a denoised...
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