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| Neighborhood Adaptive Image Denoising Using Dual-Tree Complex Wavelet Transform |
| Zhou Deng-wen; Liu Ke-qin |
| Department of Computer Science and Technology, North China Electric Power University, Beijing 102206, China |
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Abstract In this paper, a new neighborhood adaptive image denoising method is proposed using dual-tree complex wavelet transforms. It is an improvement of the existing denoising method NeighShrink. The optimal thresholds and neighboring window sizes are determined for every subband in the wavelet domain using Stein’s unbiased risk estimate, and NeighShrink is also extended from orthogonal wavelet transforms to dual-tree complex wavelet transforms in this paper. Experimental results show that the proposed method performs?better than some of the existing methods.
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Received: 22 April 2008
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2009, Vol. 31 
