Journal of Shanghai University(Natural Science Edition) ›› 2012, Vol. 18 ›› Issue (6): 555-560.

• Communication and Information Engineering • Previous Articles     Next Articles

A New Method of Adaptive Wiener Filtering

LI Dong-bing,LI Guo-ping,TENG Guo-wei,ZHAO Hai-wu,WANG Guo-zhong,LI Ping   

  1. 1. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China;
    2. Shanghai GMT Digital  Technology Co.〖KG-*3〗, Ltd.〖KG-*3〗, Shanghai 201204, China
  • Received:2012-03-02 Online:2012-12-28 Published:2012-12-28

Abstract: Aimed at improving the insufficient result of classic Wiener filtering, a new adaptive Wiener filter is proposed. The new filter can adaptively select the filter template from different given templates, giving a better filtering result. The traditional Wiener filter seeks to suppress noise in images at the cost of losing some edge information, while the proposed method can overcome the problems. Experimental results show that the proposed filter gives improved performance both in subjective and objective evaluations as compared to the classic Wiener filtering.

Key words: adaptive selection, adaptive Wiener filter, classical Wiener filter

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