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Volume: 7 | Article ID: art00047
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Demosaicing using Human Visual Properties and Wavelet Interpolation Filtering
Bo Tao
Ingeborg Tastl
Ted Cooper
Mike Blasgen
Eric Edwards
  DOI :  10.2352/CIC.1999.7.1.art00047  Published Online :  January 1999
Abstract

New color signal demosaicing algorithms in digital cameras are introduced by using properties of the human visual system, and by analyzing the desired frequency response of the interpolation filters. A color transformation of the RGB signal is used to obtain new signals on which interpolation is performed. The transformation corresponds to the signal processing steps within the human visual system. Wavelet filters are used for interpolation. Both objective measure and subjective testing show that the proposed algorithm achieves advantages over a previously published algorithm.

Journal Title : Color and Imaging Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
Subject Areas :
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 DOI 10.2352/CIC.1999.7.1.art00047
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  Cite this article 

Bo Tao, Ingeborg Tastl, Ted Cooper, Mike Blasgen, Eric Edwards, "Demosaicing using Human Visual Properties and Wavelet Interpolation Filtering"  in Proc. IS&T 7th Color and Imaging Conf.,  1999,  pp 252 - 256,  https://doi.org/10.2352/CIC.1999.7.1.art00047

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  Copyright statement 
Copyright © Society for Imaging Science and Technology 1999
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2166-9635(19990101)1999:1L.252;1-
cic_v1999n1/splitsection47.xml
/ist/cic/1999/00001999/00000001/art00047
Articles
Demosaicing using Human Visual Properties and Wavelet Interpolation Filtering
TaoBo
TastlIngeborg
CooperTed
BlasgenMike
EdwardsEric
01011999
1999
1
252
256
1999
New color signal demosaicing algorithms in digital cameras are introduced by using properties of the human visual system, and by analyzing the desired frequency response of the interpolation filters. A color transformation of the RGB signal is used to obtain new signals on which interpolation is performed. The transformation corresponds to the signal processing steps within the human visual system. Wavelet filters are used for interpolation. Both objective measure and subjective testing show that the proposed algorithm achieves advantages over a previously published algorithm.