A Class of Nonconvex Nonsmooth Approximate Potential Functions for Nonconvex Nonsmooth Image Restoration
Noneonvex nonsmooth potential functions have superior restoration performance for the images with neat boundaries.However,several difficulties emerge from the numerical computation.Thus the graduated nonconvex (GNC)method is suggested to deal with these problems.To improve the performance of the GNC method further,a class of nonconvex nonsmooth approximate potential functions have been constructed in this paper,which can help our get a better initial value of the original problem.The numerical results show the restored quality and efficiency of the proposed methods.
nonconvex nonsmooth potential function image restoration algorithm
Xiao-Guang Liu Xing-Bao Gao
College of Mathematics and Information Science Shaanxi Normal University Xian,Shaanxi
国际会议
杭州
英文
1431-1434
2013-03-22(万方平台首次上网日期,不代表论文的发表时间)