Title :
A PDE Based Method for Speckle Noise Suppression
Author :
Du, Huiqian ; Ren, Yanfang ; Mei, Wenbo
Author_Institution :
Dept. of Electron. Eng., Beijing Inst. of Technol.
Abstract :
The presence of speckle noise hinders observers from acquiring information of SAR images. It is desirable to remove speckle noise without features destroyed. In this paper, a PDE (partial differential equation) based method is presented to suppress the speckle noise. Unlike Perona & Malik´s method, standard gradient is introduced to distinguish between the continuous areas and edges in SAR images. Since standard gradient makes use of the statistical information to locate the edges its application in PDE brings better image enhancement results. To demonstrate the performance of our method, we apply it to real SAR images. The experiment results show that the method reduces speckle and keeps important features simultaneously
Keywords :
image denoising; image enhancement; partial differential equations; radar imaging; speckle; statistical analysis; synthetic aperture radar; SAR images; image enhancement; partial differential equation; speckle noise removal; speckle noise suppression; statistical information; Anisotropic magnetoresistance; Filters; High-resolution imaging; Image edge detection; Image enhancement; Noise reduction; Partial differential equations; Spatial resolution; Speckle; Synthetic aperture radar;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345610