Application of the CIECAM02 colour appearance model to predict the effect of gamma on the colours viewed on CRT monitors.pdfVIP

ARTICLE IN PRESS Signal Processing: Image Communication 19 (2004) 1029–1045 /locate/image Application of the CIECAM02 colour appearance model to predict the effect of gamma on the colours viewed on CRT monitors Snjezana Soltic, Andrew N. Chalmers?, Radhika Jammalamadaka Department of Electrical and Electronic Engineering, Manukau Institute of Technology, Private Bag 94006, Manukau City, Auckland 1730, New Zealand Received 15 March 2004 Abstract The purpose of this investigation is to develop a prediction process for the subjective response of human viewers to the colours of a range of samples displayed on a CRT (cathode ray tube) monitor, for a range of different values of monitor gamma. We have used the gain-offset-gamma (GOG) model of the behaviour of the CRT, together with the assumption of ‘‘standard’’ CRT colorimetry, to permit an assessment of the in?uence of monitor gamma on the appearance of the colours reproduced on its screen. Colour differences have been computed in a colour space, based on the CIECAM02 colour appearance model, here termed the (J,aC,bC) colour space. A total of 76 numerically de?ned colour samples were used, and were subjected to the in?uence of eight different gamma values. The results show that there can be signi?cant colour appearance differences as a consequence of erroneous CRT gamma values. Such errors in colour appearance are highly likely to present problems when dealing with applications where an accurate impression or understanding the displayed colour is important. r 2004 Elsevier B.V. All rights reserved. Keywords: Monitor gamma; Monitor models; CIECAM02; Colour appearance modelling 1. Introduction ?Corresponding author. Tel.: (+64-9)-968-8000; fax: (+649)-968-8711. E-mail addresses: ssoltic@manukau.ac.nz (S. Soltic), chalmers@manukau.ac.nz (A.N. Chalmers), rjammala@manukau.ac.nz (R. Jammalamadaka). An earlier investigation [15] has utilized computer-modelling techniques to predict the colorimetric errors that can arise with c