Numer. Math. Theor. Meth. Appl., 6 (2013), pp. 276-296.
Published online: 2013-06
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Total variation regularization has good performance in noise removal and edge preservation but lacks in texture restoration. Here we present a texture-preserving strategy to restore images contaminated by blur and noise. According to a texture detection strategy, we apply spatially adaptive fractional order diffusion. A fast algorithm based on the half-quadratic technique is used to minimize the resulting objective function. Numerical results show the effectiveness of our strategy.
}, issn = {2079-7338}, doi = {https://doi.org/10.4208/nmtma.2013.mssvm15}, url = {http://global-sci.org/intro/article_detail/nmtma/5904.html} }Total variation regularization has good performance in noise removal and edge preservation but lacks in texture restoration. Here we present a texture-preserving strategy to restore images contaminated by blur and noise. According to a texture detection strategy, we apply spatially adaptive fractional order diffusion. A fast algorithm based on the half-quadratic technique is used to minimize the resulting objective function. Numerical results show the effectiveness of our strategy.