Methods for designing characterisation targets for digital cameras |
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Authors: | Yi‐Fan Chou M Ronnier Luo Changjun Li Vien Cheung San‐Liang Lee |
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Affiliation: | 1. School of Design, University of Leeds, , Leeds, LS2 9JT UK;2. Department of Electronic Engineering, National Taiwan University of Science and Technology, , Taipei, 106 Taiwan;3. School of Electronics and Information Engineering, Liaoning University of Science and Technology, , Anshan, 114051 China |
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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. |
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