Title :
A Method of Reducing Speckle Noise of SAR Images Based on Wavelets and Wedgelet HMT Models
Author :
Jin, Haiyan ; Jiao, Licheng ; Liu, Fang
Author_Institution :
Inst. of Intelligent Inf. Process., Xidian Univ., Xi´´an
Abstract :
In terms of the statistical characteristic of SAR images, combining the multi-scale wavelets and wedgelet approximation with HMT models, a novel method of reducing speckle noise of SAR images is presented in this paper. Furthermore, analyze the mechanism and computation complexity of this technique. The validity and efficiency are shown by experiments
Keywords :
approximation theory; computational complexity; hidden Markov models; image denoising; radar imaging; synthetic aperture radar; wavelet transforms; HMT models; SAR image; computation complexity; speckle noise reduction; statistical characteristic; wavelet approximation; wedgelet approximation; Discrete wavelet transforms; Hidden Markov models; Image denoising; Military computing; Noise reduction; Pixel; Signal processing; Signal to noise ratio; Speckle; Synthetic aperture radar;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.101
