Robust detail-preserving image filters implemented in DSP TMS320C6701

Volodymyr I. Ponomaryov; Francisco J. Gallegos Funes; Victor Kravchenko; Luis Nino de Rivera

doi:10.1117/12.444210

5 October 2001 Robust detail-preserving image filters implemented in DSP TMS320C6701

Volodymyr I. Ponomaryov, Francisco J. Gallegos Funes, Victor Kravchenko, Luis Nino de Rivera

Proceedings Volume 4572, Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision; (2001) https://doi.org/10.1117/12.444210
Event: Intelligent Systems and Advanced Manufacturing, 2001, Boston, MA, United States

Abstract

In this paper, we present the implementation of the robust detail preserving filters with impulsive noise removal and multiplicative noise suppression for computer vision applications. The designed filter is the consequential connection of two filters. The first filter uses the value of central pixel of the filtering window to provide the preservation of fine details and the redescending M-estimators combined with the Wilcoxon estimator to provide impulsive noise rejection. The second filter uses the output of the first filter as the pre-estimator for an adaptive calculation in the redescending M-estimator. We investigated various types of restriction functions in the M-estimator those are similar to the ones used in the Sigma filter to provide multiplicative noise suppression. The optimal values of the parameters of designed filters in presence of different noise mixture are determined. We also present the implementation of the proposed filtering algorithms by means of use of DSP TMS320C6701 processor for real time filtering. Different simulation data are presented in the paper and shown the statistical efficiency of the filters and the values of time in case of real time filtering.

Citation Download Citation

Volodymyr I. Ponomaryov, Francisco J. Gallegos Funes, Victor Kravchenko, and Luis Nino de Rivera "Robust detail-preserving image filters implemented in DSP TMS320C6701", Proc. SPIE 4572, Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision, (5 October 2001); https://doi.org/10.1117/12.444210

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KEYWORDS

Digital filtering

Image filtering

Digital signal processing

Image processing

Optical filters

Filtering (signal processing)

Computer vision technology

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