Resumo

GALLEGOS, Francisco; PONOMARYOV, Volodymyr; POGREBNYAK, Oleksiy  e  NINO DE RIVERA, Luis. Robust RM-KNN Filters with Different Influence Functions for Removal of Impulsive Noise in Digital Images. Comp. y Sist. [online]. 2003, vol.6, n.3, pp.183-195. ISSN 2007-9737.

We present the implementation of robust image filtering for impulsive noive suppression with detail preservation. The filtering schemes use a similar to KNN filter technique to provide fine detail preservation and the redescending M-estimators combined with the median or Wilcoxon estimator to provide impulsive noise rejection. We use different types of influence functions in the M-estimator to provide better impulsive noise suppression. The filtration of image sequences corrupted by impulsive noise demonstrates that the proposed methods potentially could provide a solution to quality TV/Video transmission. The efficiency of the proposed filters has been evaluated by numerous simulations. The implementation of proposed filters was realized in real-time by means of use of DSP TMS320C6701.

Palavras-chave : Order Statistics Filters; RM-KNN filters; DSP TMS320C6701.

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