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An RGB to RGBG conversion algorithm for AMOLED panel
Author(s) -
Huang Chengqiang,
Zhang Qi,
Wang Hui,
Feng Songlin
Publication year - 2017
Publication title -
journal of the society for information display
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 52
eISSN - 1938-3657
pISSN - 1071-0922
DOI - 10.1002/jsid.552
Subject(s) - weighting , rgb color model , peak signal to noise ratio , pixel , computer science , algorithm , artifact (error) , artificial intelligence , noise (video) , signal (programming language) , computer vision , image (mathematics) , physics , acoustics , programming language
In this paper, an RGB‐to‐RGBG conversion algorithm based on the weighting factor (WF) has been proposed. The gray level of each RGBG sub‐pixel is represented by the weighted sum of the original gray levels. The weighting factors are adaptively calculated by minimizing the square error. Furthermore, the color fringing artifact is significantly improved by using this method. Peak signal‐to‐noise ratio of U component and peak signal‐to‐noise ratio of V component of the image processed by WF is larger than that processed by direct assignment and FRB. The mean square error of the image processed by the WF is 14% and 53% smaller than that of image processed by direct assignment and FRB, respectively. The proposed algorithm has been implemented on a field‐programmable gate array, and the displayed image has good visual effect.