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

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

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

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 language	English
Pages	419-423
Number of pages	5
Publication status	Published - 1999
Externally published	Yes
Event	International Conference on Image Processing (ICIP'99) - Kobe, Jpn Duration: Oct 24 1999 → Oct 28 1999

Other

Other	International Conference on Image Processing (ICIP'99)
City	Kobe, Jpn
Period	10/24/99 → 10/28/99

ASJC Scopus subject areas

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

Cite this

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

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.",

author = "Lazhar Khriji and Giuseppe Bernacchia and Moncef Gabbouj and Giovanni Sicuranza",

year = "1999",

language = "English",

pages = "419--423",

note = "International Conference on Image Processing (ICIP'99) ; Conference date: 24-10-1999 Through 28-10-1999",

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AU - Khriji, Lazhar

AU - Bernacchia, Giuseppe

AU - Gabbouj, Moncef

AU - Sicuranza, Giovanni

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

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M3 - Paper

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T2 - International Conference on Image Processing (ICIP'99)

Y2 - 24 October 1999 through 28 October 1999

ER -

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

Abstract

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ASJC Scopus subject areas

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