Chou, YF, Luo, MR, Li, C et al. (2 more authors) (2013) Methods for designing characterisation targets for digital cameras. Coloration Technology, 129 (3). 203 - 213. ISSN 1472-3581
Abstract
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.
Metadata
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Copyright, Publisher and Additional Information: | This is the peer reviewed version of the following article: Chou, YF, Luo, MR, Li, C, Cheung, TLV and Lee, SL (2013) Methods for designing characterisation targets for digital cameras. Coloration Technology, 129 (3). 203 - 213, which has been published in final form at http://dx.doi.org/10.1111/cote.12022. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 10 Nov 2015 10:50 |
Last Modified: | 16 Nov 2016 01:19 |
Published Version: | http://dx.doi.org/10.1111/cote.12022 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | https://doi.org/10.1111/cote.12022 |