节点文献

一种具有非凸非光滑组合正则的图像恢复方法

One Image Restoration Method with the Combined Non-convex Non-smooth Regularization

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 刘晓光高兴宝

【Author】 LIU Xiao-guang;GAO Xing-bao;School of Computer Science and Technology,Southwest University for Nationalities;College of Mathematics and Information Science,Shaanxi Normal University;

【机构】 西南民族大学计算机科学与技术学院陕西师范大学数学与信息科学学院

【摘要】 为保证对含有较多纹理信息的图像有好的恢复性能,提出了一种具有非凸非光滑组合正则的图像恢复方法。一方面,利用一阶非凸非光滑正则在恢复图像的同时保护图像纹理信息;另一方面,采用二阶非凸非光滑正则降低一阶非凸非光滑正则引起的分层效应。交替方向法等用来克服该组合正则项非凸非光滑性带来的数值计算困难。最后,不同污染环境下的仿真实验结果表明算法恢复图像的信噪比、峰值信噪比、图像相似度评价值均优于比较算法恢复结果。

【Abstract】 In order to ensure that the images including more texture information could be restored well,one image restoration method with a combined non-convex non-smooth regularization is presented. On the one hand,the first order non-convex non-smooth regularization is used to restore the images and protect the texture information.On the other hand,the second order non-convex non-smooth regularization is utilized to reduce the layering effect caused by the first order non-convex non-smooth regularization. The alternative direction method,etc are used to overcome the numerical difficulties caused by the non-convexness and non-smoothness. Finally,the simulation experiment results show that the SNR,PSNR and SSIM of the images restored by proposed method are all better than the results of comparing algorithms under different blurred conditions.

【关键词】 非凸非光滑正则仿真图像恢复
【Key words】 non-convexnon-smoothregularizationsimulationimage restoration
【基金】 四川省教育厅重点项目(17ZA0414);国家自然科学基金(61273311);中央高校基本科研业务费项(2015NZYQN30);四川省科技厅重点支撑项目(2016RZ0065)资助
  • 【文献出处】 科学技术与工程 ,Science Technology and Engineering , 编辑部邮箱 ,2018年07期
  • 【分类号】TP391.41
  • 【被引频次】4
  • 【下载频次】53
节点文献中: 

本文链接的文献网络图示:

本文的引文网络