Image denoising via combining contourlet and stationary-wavelet transform

Xiao-feng Song; Dong-sheng Yamg; Xin-she Qi

doi:10.1117/12.920267

13 January 2012 Image denoising via combining contourlet and stationary-wavelet transform

Xiao-feng Song, Dong-sheng Yamg, Xin-she Qi

Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis; 83490J (2012) https://doi.org/10.1117/12.920267
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

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.

Citation Download Citation

Xiao-feng Song, Dong-sheng Yamg, and Xin-she Qi "Image denoising via combining contourlet and stationary-wavelet transform", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83490J (13 January 2012); https://doi.org/10.1117/12.920267

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