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作 者:WANG Wenbo YI Xuming FEI Pusheng
机构地区:[1]School of Mathematic, Wuhan University, Luojia Hill, Wuhan 430072, China
出 处:《Geo-Spatial Information Science》2008年第4期257-261,共5页地球空间信息科学学报(英文)
基 金:Supported by the National Natural Science Foundation of China (No.70371032).
摘 要:According to the different characteristics that signal and noise exhibit during wavelet decomposition, a new denoising method based on the lifting scheme wavelet packet decomposition is presented. In this method, the SAR images are decom- posed by using the best wavelet packet and the norm of each sub-band are calculated; signals and noise can be discriminated based on the norm and soft-threshold method, and the images can be denoised. Experiments show that the proposed algorithm has excellent performance in denoising SAR images, and can remove most noise of images with well-kept texture detail informa- tion. The calculating speed of the method is twice the speed of the general wavelet packet transform algorithm.According to the different characteristics that signal and noise exhibit during wavelet decomposition, a new denoising method based on the lifting scheme wavelet packet decomposition is presented. In this method, the SAR images are decomposed by using the best wavelet packet and the norm of each sub-band are calculated; signals and noise can be discriminated based on the norm and soft-threshold method, and the images can be denoised. Experiments show that the proposed algorithm has excellent performance in denoising SAR images, and can remove most noise of images with well-kept texture detail information. The calculating speed of the method is twice the speed of the general wavelet packet transform algorithm.
关 键 词:lifting scheme wavelet packet decomposition SAR image image denoising
分 类 号:P237.3[天文地球—摄影测量与遥感]
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