Computer Science ›› 2016, Vol. 43 ›› Issue (Z11): 208-209.doi: 10.11896/j.issn.1002-137X.2016.11A.047

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Image Denoising Model via Weighted Sparse Representation and Dictionary Learning

SUN Shao-chao   

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

Abstract: The GMM model is trained by natural image patches,covariance matrix of the Gaussian component is used to form sub dictionary and feature value is used to weight the sparse coefficient.A novel model was proposed when introducing GMM into CSR model,and its optimization algorithm was given.Experimental results show that our method has advantages compared with some advanced models.

Key words: Image denoising,Nonlocal self-similarity,Sparse representation,GMM

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