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Image-classification-based global dimming algorithm for LED backlights in LCDs

机译:LCD中LED背光的基于图像分类的全局调光算法

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Backlight dimming can help LCDs reduce power consumption and improve CR. With fixed parameters, dimming algorithm cannot achieve satisfied effects for all kinds of images. The paper introduces an image-classification-based global dimming algorithm. The proposed classification method especially for backlight dimming is based on luminance and CR of input images. The parameters for backlight dimming level and pixel compensation are adaptive with image classifications. The simulation results show that the classification based dimming algorithm presents 86.13% power reduction improvement compared with dimming without classification, with almost same display quality. The prototype is developed. There are no perceived distortions when playing videos. The practical average power reduction of the prototype TV is 18.72%, compared with common TV without dimming. (C) 2015 Published by Elsevier Ltd.
机译:背光调光可以帮助LCD降低功耗并改善CR。在固定参数的情况下,调光算法不能对所有图像都达到满意的效果。本文介绍了一种基于图像分类的全局调光算法。所提出的特别是用于背光调光的分类方法基于输入图像的亮度和CR。背光调光等级和像素补偿的参数适用于图像分类。仿真结果表明,基于分类的调光算法与没有分类的调光相比,功耗降低了86.13%,显示质量几乎相同。开发原型。播放视频时没有感觉到的失真。与不带调光的普通电视相比,原型电视的实际平均功耗降低了18.72%。 (C)2015由Elsevier Ltd.出版

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