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Proceedings Paper

CRT calibration for high-quality reproduction of color images
Author(s): Andrea Abrardo; Mauro Barni; Monia Zappalorti
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Paper Abstract

In this work two methods are presented aiming at reducing the color degradation introduced by CRT monitors. According to the first, a mathematical model of the CRT is developed and an approximation of its inverse is used to pre-process the images to be reproduced in such a way that color distortion is minimized. The second method is similar to the first one, the only difference consisting in the use of a neural network to model the behavior of the CRT. According to both strategies, training against a set of reference colors is needed to tune the parameters of the model. Experiments were carried out to evaluate the performance of the proposed methods. Upon analysis of the results, the superior accuracy of the neural- based system comes out, due to its capability of dealing with the non-linear, non-ideal behavior of commercial monitors. On the other hand, more flexibility of use can be achieved through a mathematical description of the CRT, which in some application scenarios makes such a solution a more desirable one.

Paper Details

Date Published: 18 October 1999
PDF: 8 pages
Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); doi: 10.1117/12.365886
Show Author Affiliations
Andrea Abrardo, Univ. of Siena (Italy)
Mauro Barni, Univ. of Siena (Italy)
Monia Zappalorti, Univ. of Florence (Italy)


Published in SPIE Proceedings Vol. 3808:
Applications of Digital Image Processing XXII
Andrew G. Tescher, Editor(s)

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