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Proceedings Paper

New method for image denoising using nonsubsampled WBCT
Author(s): Min Li; Ting Wang; Cheng-biao Wang; Zhi-qiang Fu; Wei-qing Li
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Paper 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.

Paper Details

Date Published: 26 February 2010
PDF: 6 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75463L (26 February 2010); doi: 10.1117/12.855572
Show Author Affiliations
Min Li, China Univ. of Geosciences (China)
Ting Wang, Shan Dong Machinery Group Co. Ltd. (China)
Cheng-biao Wang, China Univ. of Geosciences (China)
Zhi-qiang Fu, China Univ. of Geosciences (China)
Wei-qing Li, China Univ. of Geosciences (China)


Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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