Spatially Adaptive Total Variation Regularization Model for Interdisciplinary Imaging Recovery

Guanghua Gong; Hongming Zhang; Minyu Yao

doi:10.1364/MATH.2016.MW5H.3

Imaging and Applied Optics 2016
OSA Technical Digest (online) (Optica Publishing Group, 2016),
paper MW5H.3
•https://doi.org/10.1364/MATH.2016.MW5H.3

Spatially Adaptive Total Variation Regularization Model for Interdisciplinary Imaging Recovery

Guanghua Gong, Hongming Zhang, and Minyu Yao

Mathematics in Imaging 2016

Heidelberg Germany
25–28 July 2016
ISBN: 978-1-943580-15-6

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Numerical Methods (MW5H)

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G. Gong, H. Zhang, and M. Yao, "Spatially Adaptive Total Variation Regularization Model for Interdisciplinary Imaging Recovery," in Imaging and Applied Optics 2016, OSA Technical Digest (online) (Optica Publishing Group, 2016), paper MW5H.3.

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Abstract

We introduce a spatially adaptive total variation regularization model for interdisciplinary imaging recovery. The model preserves image details and suppresses different kinds of noise in various applications.

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