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Volume 31 Issue 5
Dec.  2010
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Zhou Deng-wen, Liu Ke-qin. Neighborhood Adaptive Image Denoising Using Dual-Tree Complex Wavelet Transform[J]. Journal of Electronics & Information Technology, 2009, 31(5): 1197-1200. doi: 10.3724/SP.J.1146.2008.00469
Citation: Zhou Deng-wen, Liu Ke-qin. Neighborhood Adaptive Image Denoising Using Dual-Tree Complex Wavelet Transform[J]. Journal of Electronics & Information Technology, 2009, 31(5): 1197-1200. doi: 10.3724/SP.J.1146.2008.00469

Neighborhood Adaptive Image Denoising Using Dual-Tree Complex Wavelet Transform

doi: 10.3724/SP.J.1146.2008.00469
  • Received Date: 2008-04-22
  • Rev Recd Date: 2008-09-19
  • Publish Date: 2009-05-19
  • 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 Steins 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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