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


Montag & Fairchild (1998)

An evaluation of a range of gamut clipping techniques is described in this paper whereby these techniques were used to map colours from an original CRT gamut to a number of reproduction gamuts simulated on the same CRT. The test images used in the experiment were computer-rendered textured spheres which were uniform in terms of hue whereby the colours used were red, yellow, green, cyan, blue, magenta and skin and an image containing all seven spheres was evaluated as well. The simulated reproduction gamuts were the following: cube gamut - an arbitrary gamut based on a distorted cube, reduced CRT gamut - an 80 per cent scaled version of the original CRT gamut and printer gamut - a gamut based on measurements of samples obtained from an inkjet printer and all of them had the same lightness range of 10 to 90.

The GMAs evaluated using this setup consisted of two steps: first, a piecewise-linear lightness compression followed by C*/L* preserving correction for original colours whose lightness was reduced by the compression and second, chroma clipping. The chroma clipping techniques used were: clipping along lines of constant lightness, minimum (delta)E clipping, hue preserving minimum (delta)E clipping, clipping towards L*=50 on the lightness axis (labelled node clipping) and clipping towards the lightness of the cusp on the lightness axis.

In terms of results, the experiments suggest that mapping along lines of constant lightness performs best (followed by cusp clipping) and hue-preserving minimum (delta)E performs worst. The findings also show dependencies in best chroma clipping method on destination gamut shape and object hue in the image. A significant difference is also shown between the results from the different simulated reproduction gamuts whereby the overall best method is particularly often outperformed in the case of the simulated printer gamut being the reproduction gamut.

Overall this experiment provides a very extensive study of gamut clipping and it also clearly suggests the influence of gamut differences on the resulting performance of gamut mapping algorithms.
 


Last updated: 31 August 1999 by Jan Morovic