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| Two-stage Image Denoising Based on Sparse Representations |
| He Yan-min① Gan Tao② Chen Wu-fan① |
①(Scool of Automation Engineering,University of Electronic Science and Technology of China, Chengdu 611731, China)
②(Scool of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China) |
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Abstract It remains a challenging task to restore the image which is contaminated with heavy noise. In this paper, an image denoising method is proposed based on sparse representations. In the dictionary training stage, a matching criterion based on correlation coefficient is introduced and a dictionary pruning scheme is proposed to tackle the conflicting issues of structure extraction and artifact suppression. Experimental results show that the proposed method achieves significant improvements over the previous sparse denoising methods and outperforms the state-of-the-art methods in terms of both objective and subjective quality at high noise level.
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Received: 17 February 2012
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Corresponding Authors:
He Yan-min
E-mail: heyanmin@gmail.com
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2012, Vol. 34 
