Abstract
The rapid market growth of CRT displays with color and higher resolution has caused a corresponding increased emphasis on improved measurement of their focusing capabilities, since this affect the perceived image qualities reproduced on the CRT displays. In this study, experiments were conducted to collect the data that was used to formulate the relationship between quantitative design parameters in CRT display and the perceived image quality. Human perception of the image quality was evaluated in terms of user feedback scores regarding the character legibility from four highly trained inspectors. Thirteen CRT monitors from five different manufacturers were compared relatively with respect to the norm monitor. The profile of electron beam such as spot size and the shape of distribution made by electron beam, contrast, convergence of RGB beams, and luminance characteristics were measured using a precision measurement system. Linear regression analysis and artificial neural network models were used to formulate the relationship between human perception and the quantitative measurements. The accuracy of the formulated linear regression model (R2 = 0.515) was not satisfactory but the nonlinear neural network model (R2=0.716) was fairly convincing and robust even the utilized data included subjective differences.
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