A Class of Nonconvex Nonsmooth Approximate Potential Functions for Nonconvex Nonsmooth Image Restoration

نویسندگان

  • Xiao-Guang Liu
  • Xing-Bao Gao
چکیده

Nonconvex 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. Keywords-nonconvex nonsmooth; potential function; image restoration; algorithm

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تاریخ انتشار 2013