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|Title: ||A study of digital camera colorimetric characterisation based on polynomial modelling|
|Authors: ||Hong, Guowei|
Luo, M. Ronnier
Rhodes, Peter A.
|Keywords: ||camera characterisation|
|Issue Date: ||2001|
|Publisher: ||© John Wiley & Sons|
|Citation: ||HONG, LUO and RHODES, 2001. A study of digital camera colorimetric characterisation based on polynomial modelling. Color Research and Application, 26(1), pp. 76-84|
|Abstract: ||The digital camera is a powerful tool to capture images for use in image
processing and colour communication. However, the RGB signals generated by a
digital camera are device-dependent, i.e. different digital cameras produce different
RGB responses for the same scene. Furthermore, they are not colorimetric, i.e. the
output RGB signals do not directly correspond to the device-independent tristimulus
values based on the CIE standard colorimetric observer. One approach for deriving a
colorimetric mapping between camera RGB signals and CIE tristimulus values uses
polynomial modelling and is described here. The least-squares fitting technique was
used to derive the coefficients of 3× n polynomial transfer matrices yielding a modelling
accuracy typically averaging 1 Δ E units in CMC(1:1) when a 3× 11 matrix is used.
Experiments were carried out to investigate the repeatability of the digitising system,
characterisation performance when different polynomials were used, modelling
accuracy when 8-bit and 12-bit RGB data were used for characterisation and the number
of reference samples needed to achieve a reasonable degree of modelling accuracy.
Choice of characterisation target and media and their effect on metamerism have been
examined. It is demonstrated that a model is dependent upon both media and colorant
and applying a model to other media/colorants can lead to serious eye-camera
|Description: ||This article was published in the journal, Color Research and Application [© John Wiley & Sons].|
|Appears in Collections:||Published Articles (Design School)|
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