De-noising algorithm for SAR image based on enhanced contourlet transform domain

Changhua Lu; Liuqing Sheng; Shousheng Liu

doi:10.1117/12.913347

30 September 2011 De-noising algorithm for SAR image based on enhanced contourlet transform domain

Changhua Lu, Liuqing Sheng, Shousheng Liu

Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 82850S (2011) https://doi.org/10.1117/12.913347
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt

Abstract

An enhanced filtering method in Contourlet transform domain is proposed in this paper. According to local properties, SAR image will be firstly divided into homogeneous area, non-homogeneous area and edge area. Then average filtering method is applied to the homogeneous area, Contourlet transform de-noising method applied to the non-homogeneous area and edge area retained directly. It's proved that not only can we effectively eliminate the noise but also maintain edge details through this method. Compared with other classical filters, the capability to keep the edge details is stronger.

Citation Download Citation

Changhua Lu, Liuqing Sheng, and Shousheng Liu "De-noising algorithm for SAR image based on enhanced contourlet transform domain", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82850S (30 September 2011); https://doi.org/10.1117/12.913347

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