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Proceedings Paper

Image denoising via combining contourlet and stationary-wavelet transform
Author(s): Xiao-feng Song; Dong-sheng Yamg; Xin-she Qi
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Paper Abstract

A new method of image denoising was presented via combining contourlet transform and the stationary wavelet transform which has an iterative filer bank with stationary wavelet transform and the directional filter banks (DFB). The experimental results show that in terms of image denoising, the proposed method can suppress speckle in SAR images effectively while preserving the edge features and textural information of the scene.

Paper Details

Date Published: 13 January 2012
PDF: 5 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83490J (13 January 2012); doi: 10.1117/12.920267
Show Author Affiliations
Xiao-feng Song, Xi'an Communication Institute (China)
Dong-sheng Yamg, Xi'an Communication Institute (China)
Xin-she Qi, Xi'an Communication Institute (China)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

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