@Article{NMTMA-6-276,
author = {R. H. Chan, A. Lanza, S. Morigi and F. Sgallari},
title = {An Adaptive Strategy for the Restoration of Textured Images Using Fractional Order Regularization},
journal = {Numerical Mathematics: Theory, Methods and Applications},
year = {2013},
volume = {6},
number = {1},
pages = {276--296},
abstract = {<p style="text-align: justify;">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, &nbsp;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.</p>},
issn = {2079-7338},
doi = {https://doi.org/10.4208/nmtma.2013.mssvm15},
url = {http://global-sci.org/intro/article_detail/nmtma/5904.html}
}