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Characterization of Error Reduction in Mobile Liquid Crystal Display Using Distinct XYZ Electro-Optical Transfer Functions for Each Channel and Interchannel Components

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Most display characterization methods, such as the gain-offset-gamma model and S-curve model, generally assume that displays have two fundamental characteristics, channel-chromaticity constancy and channel independence. Consequently, based on the assumption of channel-chromaticity constancy, only one electro-optical transfer function (EOTF) is used for each channel to establish the relation between the digital input values and the output luminance levels. Meanwhile, based on the channel-independence assumption, the channel color values are simply summed to acquire mixed color values. However, these assumptions are not so applicable in the case of liquid crystal-based mobile displays. Accordingly, modifications are required to enable the application of conventional display characterization methods to mobile displays. Therefore, this study proposes the modeling of distinct EOTFs in terms of the Y, Y and Z values for each channel to consider the differences among the EOTFs resulting from channel-chromaticity inconstancy. In addition, to overcome the poor additivity property among the channels due to channel interaction, the proposed method also models and uses the EOTFs of the Y, Y and Z values for the interchannel components cyan, magenta, yellow, and gray. Experimental results confirm that the mobile display color values predicted by the proposed characterization method are more accurate than those predicted by other characterization methods due to considering the channel-chromaticity inconstancy and/or channel dependence of the display.

Document Type: Research Article


Affiliations: 1: School of Electrical Engineering and Computer Science, Kyungpook National University, 1370 Sankyuk-dong, Buk-gu, Daegu 702-701, Korea 2: Department of Computer Engineering, Andong National University, 388 Seongcheon-dong, Andong, Gyeongsangbuk-do 760-749, Korea

Publication date: July 1, 2006

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  • The Journal of Imaging Science and Technology (JIST) is dedicated to the advancement of imaging science knowledge, the practical applications of such knowledge, and how imaging science relates to other fields of study. The pages of this journal are open to reports of new theoretical or experimental results, and to comprehensive reviews. Only original manuscripts that have not been previously published, nor currently submitted for publication elsewhere, should be submitted.

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