Computer Science ›› 2017, Vol. 44 ›› Issue (Z6): 236-239.doi: 10.11896/j.issn.1002-137X.2017.6A.054

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Nonconvex Muclear Morm Minimization General Model with Its Application in Image Denoising

SUN Shao-chao   

  • Online:2017-12-01 Published:2018-12-01

Abstract: This paper focused on the nonconvex low rank approximation model.We proposed a class of nonconvex function g defined on the singular value of matrix.In fact,many famous nonconvex functions satisfy the condition of the function g.When the function g is introduced to the weighted nuclear norm minimization model,we can get a more ge-neral model,which can effectively solve the weight selection problem of former model.In this paper,the model was applied to the field of image denoising,and the convergence solver was given.Simulation results show that our proposed method is superior to other advanced algorithms.

Key words: Nonconvex function,Low rank,Weighted nuclear norm minimization,Image denoising

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