Vector filtering for color imaging

Rastislav Lukac; Bogdan Smolka; Karl Martin; Konstantinos N. Plataniotis; Anastasios N. Venetsanopoulos

doi:10.1109/MSP.2005.1407717

Vector filtering for color imaging

Rastislav Lukac
, Bogdan Smolka
, Karl Martin
, Konstantinos N. Plataniotis
, Anastasios N. Venetsanopoulos

Department of Data Science and Engineering (RAU/RAU4)

University of Toronto

Research output: Contribution to journal › Article › peer-review

323 Citations (Scopus)

Abstract

Vector filtering of color images is an expanding field. In emerging applications, noise removal and the correct perception of desired color are critical factors. Several techniques for vector filtering are now available including, vector median filters, vector directional filters, and data adaptive filters. Specific applications include noise removal, edge detection, spatial interpolation, and spectral interpolation.

Original language	English
Pages (from-to)	74-86
Number of pages	13
Journal	IEEE Signal Processing Magazine
Volume	22
Issue number	1
DOIs	https://doi.org/10.1109/MSP.2005.1407717
Publication status	Published - Jan 2005

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/MSP.2005.1407717

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title = "Vector filtering for color imaging",

abstract = "Vector filtering of color images is an expanding field. In emerging applications, noise removal and the correct perception of desired color are critical factors. Several techniques for vector filtering are now available including, vector median filters, vector directional filters, and data adaptive filters. Specific applications include noise removal, edge detection, spatial interpolation, and spectral interpolation.",

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AU - Martin, Karl

AU - Plataniotis, Konstantinos N.

AU - Venetsanopoulos, Anastasios N.

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AB - Vector filtering of color images is an expanding field. In emerging applications, noise removal and the correct perception of desired color are critical factors. Several techniques for vector filtering are now available including, vector median filters, vector directional filters, and data adaptive filters. Specific applications include noise removal, edge detection, spatial interpolation, and spectral interpolation.

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DO - 10.1109/MSP.2005.1407717

M3 - Article

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SP - 74

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JO - IEEE Signal Processing Magazine

JF - IEEE Signal Processing Magazine

IS - 1

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Vector filtering for color imaging

Abstract

ASJC Scopus subject areas

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