An RGB to RGBG conversion algorithm for AMOLED panel

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,...

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Vydané v:Journal of the Society for Information Display Ročník 25; číslo 5; s. 302 - 311
Hlavní autori: Huang, Chengqiang, Zhang, Qi, Wang, Hui, Feng, Songlin
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Campbell Wiley Subscription Services, Inc 01.05.2017
Predmet:
Active matrix displays
Algorithms
AMOLED
Conversion
conversion algorithm
Mean square errors
Mean square values
Organic light emitting diodes
RGBG
Signal processing
Signal to noise ratio
Visual effects
Weighting
weighting factor
ISSN:1071-0922, 1938-3657
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Shrnutí: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. In this paper, an RGB‐to‐RGBG conversion algorithm based on weighting factor (WF) has been proposed. Peak signal‐to‐noise ratio of U component and peak signal‐to‐noise ratio of V component of image processed by WF is larger than that processed by direct assignment and FRB. Mean square error of image processed by the WF is 14% and 53% smaller than that of image processed by the direct assignment and FRB, respectively.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1071-0922
1938-3657
DOI:10.1002/jsid.552