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《Opto-Electronic Engineering》 2007-01
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Adaptive α-trimmed mean filtering based on characteristic of noise symmetric distribution

CHI Hai,LI Qing,SUN Fu-chun,WU Xiao-xiao ( Department of Computer Science and Technology, State Key Lab of Intelligent Technology and Systems, Tsinghua University, Beijing 100084, China )  
A novel algorithm is proposed to restore the images corrupted by mixed noises based on the α-trimmed mean filtering and the symmetric characteristics of noise model. Compared with the adaptive alpha-trimmed mean filtering method on the basis of asymptotic variance minimization, there is comparable and similar performance between two methods, but algorithm proposed in the paper has the advantages of approximately twice filtering speed and lower algorithmic complexity. Furthermore, it also has better robustness than traditional method for the mixed noise model deviated from symmetric noise distribution. Experimental results validate the effectiveness and speed of the algorithm.
【Fund】: 武器装备预研基金项目
【CateGory Index】: TN911.73
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