Dedicated hardware system for a class of nonlinear order statistics rational hybrid filters with applications to image processing

Lazhar Khriji, Giuseppe Bernacchia, Moncef Gabbouj, Giovanni Sicuranza

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A dedicated hardware system is developed for a recent class of nonlinear hybrid filters called Order Statistics-Rational Hybrid Filters (OSRHF). The performance of these filters is also studied and compared against three effective nonlinear filters from the literature. The application at hand is noise filtering in grey level images. The proposed hardware system uses a residue number system (RNS) to compute the numerator and the denominator of the rational filter. The resulting structure is suitable for direct implementation on FPGAs.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
PublisherIEEE
Pages419-423
Number of pages5
Volume2
Publication statusPublished - 1999
EventInternational Conference on Image Processing (ICIP'99) - Kobe, Jpn
Duration: Oct 24 1999Oct 28 1999

Other

OtherInternational Conference on Image Processing (ICIP'99)
CityKobe, Jpn
Period10/24/9910/28/99

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this

Khriji, L., Bernacchia, G., Gabbouj, M., & Sicuranza, G. (1999). Dedicated hardware system for a class of nonlinear order statistics rational hybrid filters with applications to image processing. In IEEE International Conference on Image Processing (Vol. 2, pp. 419-423). IEEE.