Methods for designing characterisation targets for digital cameras. (26th March 2013)

• Record Type: Journal Article
• Authors: Chou, Yi‐Fan; Luo, M Ronnier; Li, Changjun; Cheung, Vien; Lee, San‐Liang
• Is Part Of: Coloration technology. Volume 129:Number 3(2013)
• Page Start: 203
• Page End: 213
• Publication Date: 2013-03-26
• Subjects: Color -- Periodicals; Color in the textile industries -- Periodicals; Dyes and dyeing -- Periodicals; 667
• DOI: 10.1111/cote.12022
• Languages: English
• ISSNs: 1472-3581

Abstract

<abstract abstract-type="main" id="cote12022-abs-0001"> <title> <x xml:space="preserve">Abstract</x> </title> <p>Characterisation targets usually include a set of physical coloured samples. A characterisation model can be derived between the colorimetric values (tristimulus values) and camera responses (RGB values) taken from an imaging device such as a digital camera capturing the colours in the target. The performance of such a model is highly dependent upon the number of colours and the colour region in the characterisation target. An ideal characterisation target should provide accurate model prediction without requiring too many samples. In this paper, a computational method is presented for colour selections to train a camera characterisation model based on a fourth‐order polynomial model including 35 terms. Compared with other available methods, the newly developed method performed better. It is proposed that this method be applied to generate generic targets in terms of colorimetric values. These targets should work reasonably well for a wide range of materials.</p> </abstract>