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Solving Mixed Quasi-variational Inequality for Modified Total Generalized Variation for Image Denoising

Chang-zhi YUFang JIFang LIHui ZHANG

Institute of Mechanical Manufacturing Technology, China Academy of Engineering Physics

摘要:Image denoising has always been a hot issue in the field of image processing. In order to better reduce the image noise, a modified total generalized variation model is presented. The theory of mixed quasi-variational inequality is introduced to numerically solve the modified model. Compared with several variational models, experiments demonstrate that the proposed method has better performance in edge-preserving while filtering the noise.
会议名称:

2019 International Conference on Computational Modeling,Simulation and Optimization(CMSO 2019)

会议时间:

2019-11-24

会议地点:

中国北京

  • 专辑:

    信息科技

  • 专题:

    计算机软件及计算机应用

  • DOI:

    10.26914/c.cnkihy.2019.056286

  • 分类号:

    TP391.41

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