基于直方图和主灰度的调光算法

发布时间：2018-07-14 08:18

【摘要】：为了有效解决液晶显示中背光能耗与显示质量的矛盾,在综合分析了灰度直方图和主灰度等图像特征与图像背光关系的基础上,提出了一种基于这些特征的调光算法。首先统计输入图像像素灰度的平均值,并依据平均值将图像划分为3种类型;然后统计图像的灰度直方图和主灰度等特征值;最后采用多元回归分析方法分析图像特征与背光之间的关系从而确定背光公式系数,再依据公式计算背光调光亮度。对该算法使用30幅典型图像进行了仿真测试,实验结果表明调光效果指数DEI为0.95,平均节能率为28.22%。与其他算法相比,本文算法具有较高的节能率和较好的显示效果,较好地平衡了显示效果和节能率的矛盾。
[Abstract]:In order to effectively solve the contradiction between backlight energy consumption and display quality in liquid crystal display a dimming algorithm based on these features is proposed based on the comprehensive analysis of the relationship between image features such as gray histogram and main gray scale. Firstly, the average value of the pixel gray level of the input image is counted, and the image is divided into three types according to the average value, and then the gray histogram and the main gray level of the image are counted. Finally, the multivariate regression analysis method is used to analyze the relationship between image features and backlight, so as to determine the coefficient of backlight formula, and then calculate the brightness of backlight modulation based on the formula. The algorithm is simulated with 30 typical images. The experimental results show that the dimming efficiency index (DEI) is 0.95and the average energy saving rate is 28.222. Compared with other algorithms, this algorithm has higher energy saving rate and better display effect, and balances the contradiction between display effect and energy saving rate.
【作者单位】：合肥工业大学特种显示技术教育部重点实验室特种显示技术国家工程实验室现代显示技术省部共建国家重点实验室;合肥工业大学计算机与信息学院;合肥工业大学光电技术研究院;合肥工业大学仪器科学与光电工程学院;
【基金】：安徽省2012科技计划资助项目(No.1206c0805007)
【分类号】：TN873.93

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