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Proceedings Paper

Model-reference color reproduction for video system based on back-propagation networks
Author(s): Po-Rong Chang; Chih-Chiang Tai; Bao-Fuh Yeh
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Paper Abstract

This paper presents a feedforward multi-layered neural network approach, which is capable of characterizing the colorimetric model of a color CRT monitor driven by a digital red, green, and blue signal source. The model consists of forward and inverse transforms. The forward transform predicts the CIE display color for a given triad of digital RGB video signals. The inverse transform determines the digital RGB drive signals necessary to produce a color of specific CIE coordinates. Nevertheless, the identification of both forward and inverse transforms becomes intractable when the nonlinear distortions are involved in the colormetric model. These distortions result from the violations of the assumptions of phosphor constancy, gun independency, spatial uniformity and monitor characteristic function with an expression of power function. The feedforward neural networks have the capability to learn arbitrary nonlinearity and show great potential for determining the forward transform model of a color monitor. To avoid inverting the complicated nonlinear forward transform directly, an alternative approach to the inverse transform identification is proposed on the basis of Widrow and Winter's neural-based inverse system control scheme. The performance of both transforms was evaluated by the prediction and measurement of 29 test colors chosen to adequately sample the color gamut reproducible by the CRT phosphors.

Paper Details

Date Published: 15 April 1994
PDF: 9 pages
Proc. SPIE 2170, Device-Independent Color Imaging, (15 April 1994); doi: 10.1117/12.173848
Show Author Affiliations
Po-Rong Chang, National Chiao-Tung Univ. (Taiwan)
Chih-Chiang Tai, National Chiao-Tung Univ. (Taiwan)
Bao-Fuh Yeh, National Chiao-Tung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 2170:
Device-Independent Color Imaging
Eric Walowit, Editor(s)

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