Year: 2014
Author: Z.-F. Pang, B. Shi
International Journal of Numerical Analysis and Modeling, Vol. 11 (2014), Iss. 1 : pp. 102–116
Abstract
In this work, we propose a surface fitting strategy based on a two-step model to remove noise from digital images. In the first step, we minimize the total variation energy functional of an image by using the projection gradient method in order to obtain the dual variable as the smoothed normal vector. In the second step, we try to find a surface as the recovered image to fit the smoothed normal vector. Based on the projection gradient method and the variable splitting method, we propose an efficient numerical method to solve this two-step model and also give the convergence analysis of the proposed method. Some numerical comparisons are given to validate the effectiveness of our proposed model.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2014-IJNAM-516
International Journal of Numerical Analysis and Modeling, Vol. 11 (2014), Iss. 1 : pp. 102–116
Published online: 2014-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 15
Keywords: Two-step model Staircase effect Projection gradient method Edge indicator function.