Nonlocal Gradient Sparsity Regularization for Image Restoration
IEEE Transactions on Circuits and Systems for Video Technology(2017)
摘要
Total variation (TV) regularization is widely used in image restoration to exploit the local smoothness of image content. Essentially, the TV model assumes a zero-mean Laplacian distribution for the gradient at all pixels. However, real-world images are nonstationary in general, and the zero-mean assumption of pixel gradient might be invalid, especially for regions with strong edges or rich textur...
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关键词
TV,Adaptation models,Image edge detection,Image restoration,Estimation,Transforms,Predictive models
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