CIE Division 8 - TC8-03: Survey of Gamut Mapping Papers


Wei, Shyu & Sun (1997)

A method altering all three perceptual attributes (like the method in CARISMA (1992)) is proposed in this paper. Both the use of image and medium gamuts is considered. Lightness compression, which is the first step of this model, is carried out using a function which is the combination of a soft-clipping and an S-shaped tone reproduction curve traditionally used in the Graphic Arts for increasing the contrast of images. This seems to suggest that one of the aims of this gamut mapping algorithm is to enhance the appearance of reproductions. The second step of the algorithm is compression towards P - the colour having the lightness of the reproduction mediumís cusp on the lightness axis (at a given hue angle), whereby compression along a given line is carried out using the following non-linear function:
 


Here the capital letters represent distances from P whereby O and R stand for original and reproduction colour and Go and Gr are the gamut boundaries for the original and reproduction respectively. Gamut mapped colours are calculated in the above way for a number of hue angles around the originalís hue angle and that colour is chosen as the final reproduction colour, which has the smallest *D colour difference calculated as follows:
 


Note, that (l:c:h) = (3:1:2) is suggested to be the best choice by a previous study of the same authors and this is indeed in-line with the findings of Katoh and Ito (1996). In addition to this method, a second algorithm was also proposed where lightness was compressed via a soft-clipping function and chroma was compressed overall in the way suggested by Viggiano and Wang (1992). This was again followed by finding the gamut mapped colour with the minimum *D which again had the same parameters as above.

These two models were used for mapping between a dye sublimation and an inkjet printer and the resulting reproductions were evaluated using the pair comparison method. The experimental results suggested that the first model using image gamuts performed better than both the first and second models using media gamuts.
 


Last updated: 17 August 1999 by Jan Morovic