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Proceedings Paper

DSP implementation of robust filters with fine detail preserving for noise suppression using RM estimation
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Paper Abstract

In this paper, we present the real time implementation of the robust RM-estimators with different influence functions such as the cut median, Hampel, Andrews sine, Tukey and Bernoulli functions. The use of these functions in the RM algorithms provides the retention of small-size details, impulsive noise removal and multiplicative noise suppression. They demonstrated better robustness in comparison with the use of the simplest cut function. The optimal values of the parameters of such filters in presence of different noise mixture are determined. The implementation by means of use of DSP TMS320C6701 has demonstrated that the values of time processing in the case of the simplest cut function is less in comparison with another influence functions, but noise suppression is better when the proposed functions were applied.

Paper Details

Date Published: 7 December 2001
PDF: 11 pages
Proc. SPIE 4472, Applications of Digital Image Processing XXIV, (7 December 2001); doi: 10.1117/12.449789
Show Author Affiliations
Volodymyr I. Ponomaryov, Instituto Politecnico Nacional (Mexico)
Francisco J. Gallegos Funes, Instituto Politecnico Nacional (Mexico)
Luis Nino de Rivera, Instituto Politecnico Nacional (Mexico)
Oleksiy B. Pogrebnyak, Instituto Politecnico Nacional (Mexico)


Published in SPIE Proceedings Vol. 4472:
Applications of Digital Image Processing XXIV
Andrew G. Tescher, Editor(s)

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