Journal of Software:2020.31(9):2741-2755

(洛阳师范学院 信息技术学院, 河南 洛阳 471934;四川大学 计算机学院, 四川 成都 610065;黔南民族师范学院 计算机与信息学院, 贵州 都匀 558000)
Multi-region Power Consumption Optimization of AMOLED Display Based on Visual Saliency
LI De-Guang,GUO Bing,ZHANG Rui-Ling,MA You-Zhong,REN Zhen-Qin,ZHAO Xu-Ge,TAN Qing,LI Jun-Ke
(School of Information Technology, Luoyang Normal University, Luoyang 471934, China;School of Computer Science, Sichuan University, Chengdu 610065, China;School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China)
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Received:June 30, 2019    Revised:August 18, 2019
> 中文摘要: AMOLED显示器作为嵌入式设备的高功耗组件,其功耗由显示内容中所有像素点的像素值决定;同时,人类视觉系统通过视觉关注机制对显示内容的重要区域优先解读,对非重要区域关注较低.基于上述特性,提出基于视觉显著性的AMOLED显示器多区域功耗优化方法.方法的核心是:通过视觉显著性算法对显示内容的重要区域进行提取,根据图像重要区域的特征图对AMOLED显示内容进行多区域划分,最后,基于视觉关注度对各区域进行动态像素调节,在不降低显示内容整体视觉效果的同时最小化显示功耗.最后,通过多组图像测试,结果表明:在保持图像较好的视觉效果的同时,可以降低图像显示功耗.
中文关键词: 多区域  内容感知  AMOLED  图像  功耗优化
Abstract:As a high energy consumption component of embedded devices, the power consumption of AMOLED displays is determined by the pixel value of all pixels of the displayed content. And human visual system gives priority to the important regions of the display content, while pays less attention to the unimportant region. Based on the above features, a power optimization method is proposed for AMOLED display based on multi-region visual saliency. The core of the method is to extract the important region of the display content by the multi-region visual saliency algorithm, and then the display content is divided into multiple regions according to saliency map of important region of the image. At last, the dynamic pixel adjustment is carried out based on the visual attention level, which minimizes the display power without reducing the overall visual effect of the display content. Finally, through a number of image testing, the results show that the power consumption of image can be reduced while maintaining a good visual effect.
文章编号:     中图分类号:TP334    文献标志码:
基金项目:国家自然科学基金(61802162,61602231);河南省优秀科技创新人才计划(184200510011);河南省高校青年骨干教师培养计划(2017GGJS134);河南省科技攻关项目(202102210370) 国家自然科学基金(61802162,61602231);河南省优秀科技创新人才计划(184200510011);河南省高校青年骨干教师培养计划(2017GGJS134);河南省科技攻关项目(202102210370)
Foundation items:National Natural Science Foundation of China (61802162, 61602231); Outstanding Talents of Scientific and Technological Innovation in Henan (184200510011); Training Plan for Young Backbone Teachers of Colleges and Universities in Henan (2017GGJS134); the Science and Technology Key Project of Henan Province (202102210370)
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LI De-Guang,GUO Bing,ZHANG Rui-Ling,MA You-Zhong,REN Zhen-Qin,ZHAO Xu-Ge,TAN Qing,LI Jun-Ke.Multi-region Power Consumption Optimization of AMOLED Display Based on Visual Saliency.Journal of Software,2020,31(9):2741-2755