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

Katedra Inżynierii i Analizy Eksploracyjnej Danych (RAU/RAU4)

University of Toronto

Wyniki badań: Wkład do czasopisma › Artykuł › recenzja

323 Cytowania z bazy Scopus

Abstrakt

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.

Język oryginału	angielski
Strony (od–do)	74-86
Liczba stron	13
Czasopismo	IEEE Signal Processing Magazine
Tom	22
Numer wydania	1
Identyfikatory DOI	https://doi.org/10.1109/MSP.2005.1407717
Status publikacji	Opublikowano - sty 2005

Obszary tematyczne ASJC Scopus

Przetwarzanie sygnałów
Inżynieria elektryczna i elektroniczna
Matematyka stosowana

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10.1109/MSP.2005.1407717

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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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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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Vector filtering for color imaging

Abstrakt

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