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Colorimetrically-based camera characterisation

Alternatively, Spectral Based Camera Characterisation can be used. This can be divided into two measurement of the spectral sensitivities of the camera and recovery of the spectral reflectances. Both will be introduced later. [Pg.354]

There are three methods for colorimetrically characterising a camera, namely  [Pg.354]

An example using the least-sqnares method is given here. Suppose the reference target has N colonr samples. A ninth-order polynomial regression is applied to make an empirical transformation model. The equations can be written as  [Pg.354]

refer to the camera s raw signals for sample i and Qy are the coefficients to be obtained for the camera characterisation model. [Pg.354]

Since M and V are known, therefore, the coefficient matrix can be determined by the following  [Pg.355]


HONG G, LUO, M R and RHODES, p (2001) A Study of digital camera colorimetric characterisation based on polynomial modehng. Color Research and Application, 26, (1), 76-84. [Pg.364]

Hong G., Luo M. R., Rhodes P. A. (2001), A Study of Digital Camera Colorimetric Characterisation Based on Polynomial Modelling, Colour Imaging Institute, University of Derby, UK. [Pg.101]


See other pages where Colorimetrically-based camera characterisation is mentioned: [Pg.354]    [Pg.354]    [Pg.354]    [Pg.354]    [Pg.6]   


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