86365 artpubuab driver oai:ddd.uab.cat:86365 articleid 15775097v10n1p42 eng Hao, Binbin China University of Petroleum 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 restoration. In order to further improve the visual quality of the nonlocal means based algorithm, total variation is introduced to the model to better preserve edges. Then an efficient alternating minimization procedure is used to solve the model. Numerical experiments illustrate the effectiveness of the proposed algorithm. Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Anglès Article de fons Total Variation Regularization Nonlocal Means Filter Image Deconvolution info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Zhu, Jianguang Shandong University of Science and Technology Vol. 10, Núm. 1 (December 2011), p. 42-53 ELCVIA : Electronic Letters on Computer Vision and Image Analysis 1577-5097 11 779118 http://ddd.uab.cat/pub/elcvia/elcvia_a2011m12v10n1/elcvia_a2011m12v10n1p42.pdf 0042 53 December 1 10 elcvia_a2011m12v10n1 2011 ARTPUB ELCVIA UAB file 0 MD5 585501502497f7e7d9694a09d1ec2964 779118 PDF 1.4 filepath pub/elcvia/elcvia_a2011m12v10n1/elcvia_a2011m12v10n1p42.pdf disk