Share Email Print

Proceedings Paper

Robust detail-preserving image filters implemented in DSP TMS320C6701
Author(s): Volodymyr I. Ponomaryov; Francisco J. Gallegos Funes; Victor Kravchenko; Luis Nino de Rivera
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 5 October 2001
PDF: 11 pages
Proc. SPIE 4572, Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision, (5 October 2001); doi: 10.1117/12.444210
Show Author Affiliations
Volodymyr I. Ponomaryov, Instituto Politecnico Nacional (Mexico)
Francisco J. Gallegos Funes, Instituto Politecnico Nacional (Mexico)
Victor Kravchenko, Institute of Radioengineering and Radioelectronics (Russia)
Luis Nino de Rivera, Instituto Politecnico Nacional (Mexico)

Published in SPIE Proceedings Vol. 4572:
Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision
David P. Casasent; Ernest L. Hall, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?