Work place: School of Mathematics and Statistics, Chongqing University of Technology, Chongqing, China
E-mail: lruih@sohu.com
Website:
Research Interests: Image Processing
Biography
Ruihua Liu received his BSc degree in Mathematics from the Beijing Jiaotong University in 1999, his MSc degree in Mathematics from the South West China Normal University in 2005, and his PhD degree in Mathematics from the East China Normal University in 2008. He was a teacher in Wuhan University of Science & Technology from 1999 to 2002, and worked in Chongqing University of Technology from 2008. Currently, He is a post-doctoral in CASIA, and works in Beijing ViSystem Co., LTD. His research interests are image processing based on PDE’s methods and 3DMM problems.
By Ruihua Liu Ruizhi Jia Liyun Su
DOI: https://doi.org/10.5815/ijigsp.2012.03.03, Pub. Date: 8 Apr. 2012
At present, most of image decomposition models only apply to some ideal images, such as, noise-free, without blurring and super resolution images, and so on. In this paper, they propose a novel decomposition model based on dual method and texture detecting function for noisy image. Firstly, they prove the existence of minimal solutions of the noisy decomposition model functional. Secondly, they write down an alterative implementation algorithm. Finally, they give some numerical experiments, which show that their model can effectively work for Gaussian noisy image decomposition.
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