26 February 2010 New method for image denoising using nonsubsampled WBCT
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Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75463L (2010) https://doi.org/10.1117/12.855572
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
Abstract
A novel denoising method based on the nonsubsampled wavelet-based contourlet transform (N-WBCT) was proposed in this paper. It employs wavelet transform for multi-scale decomposition, and nonsubsampled directional filter banks (NSDFB) for directional decomposition. N-WBCT has not only the properties of multi-resolution and multi-direction, but also the property of translation invariance, which is useful in eliminating the Gibbs phenomenon. The experiment results showed that this algorithm can get higher PSNR and the better visual.
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Min Li, Min Li, Ting Wang, Ting Wang, Cheng-biao Wang, Cheng-biao Wang, Zhi-qiang Fu, Zhi-qiang Fu, Wei-qing Li, Wei-qing Li, } "New method for image denoising using nonsubsampled WBCT", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75463L (26 February 2010); doi: 10.1117/12.855572; https://doi.org/10.1117/12.855572
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