| 基于两段直线模型的低功耗高画质显示驱动算法研究及其FPGA实现 |
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| 引用本文： | 黄成强,樊爱均,康帅.基于两段直线模型的低功耗高画质显示驱动算法研究及其FPGA实现[J].计算机系统应用,2019,28(3):165-171. |
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| 作者姓名： | 黄成强 樊爱均 康帅 |
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| 作者单位： | 遵义师范学院 物理与电子科学学院, 遵义 563006,遵义师范学院 物理与电子科学学院, 遵义 563006,遵义师范学院 物理与电子科学学院, 遵义 563006 |
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| 基金项目： | 国家自然科学基金（61741123，11464052）；贵州省科技厅2018年重点科学技术基金（黔科合基础[2018]1424）；贵州省科技厅2017年度千层次人才项目（遵市科合人才[2017]13号）；贵州省教育厅重点项目（黔教合KY字[2015]407）；遵义师范学院博士基金（遵师BS[2015]07号）；贵州省区域一流学科-物理学（黔教科研发[2018]216号）；贵州省教育厅创新群体重大研究项目（黔教合KY字[2018]028号） |
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| 摘 要： | 由于手机电池电量有限，显示面板功耗过大引起的频繁充电问题严重地影响了智能手机的用户体验.本文提出了一种基于两段直线模型的低功耗高画质显示驱动算法.首先，将输入图像从RGB空间转换到YUV空间.随后，计算亮度平均值和最大值.在此基础上构建两段直线模型，并根据该模型产生新亮度分量.最后，将YUV空间转换到RGB空间，得到处理后的图像.实验结果表明，相比于NPC和ACSC算法，提出算法处理所得图像的MSE分别降低了30.9%和29.9%.此外，本算法产生的显示功耗最低.该算法研究已通过FPGA验证，结果表明，处理后的图像显示效果优越.
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| 关 键 词： | 智能手机 显示功耗 视觉效果 算法复杂度 |
| 收稿时间： | 2018/10/9 0:00:00 |
| 修稿时间： | 2018/10/30 0:00:00 |
Low-Power and High-Quality Display Driving Algorithm Based on Two-Line Model and Related FPGA Realization |
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| HUANG Cheng-Qiang,FAN Ai-Jun and KANG Shuai.Low-Power and High-Quality Display Driving Algorithm Based on Two-Line Model and Related FPGA Realization[J].Computer Systems& Applications,2019,28(3):165-171. |
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| Authors: | HUANG Cheng-Qiang FAN Ai-Jun and KANG Shuai |
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| Affiliation: | School of Physics and Electronic Science, Zunyi Nomal University, Zunyi 563006, China,School of Physics and Electronic Science, Zunyi Nomal University, Zunyi 563006, China and School of Physics and Electronic Science, Zunyi Nomal University, Zunyi 563006, China |
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| Abstract: | The short life of battery becomes the bottleneck that greatly undermines user''s experience of smart phones due to the high power loss on display panel. To overcome the challenge, a low-power and high-quality display driving algorithm based on two-line model is proposed in this study. Firstly, the original image is converted from the RGB space to the YUV space. Subsequently, the average and maximum luminance values are calculated to enable the two-line model to be established based on the corresponding average and maximal luminance values. Finally, the YUV space is converted back to the RGB space and the renewed image is obtained after generating the renewed luminance under the assistance of the two-line model. The experimental results show that the MSE of image processed by the proposed algorithm is 30.9% and 29.9% lower than that processed by the NPC and the ACSC, respectively, with the lowest power consumption. Moreover, the proposed algorithm has been successfully verified on an FPGA board without causing a significant degradation of visual effect. |
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| Keywords: | smart phone display power visual effect algorithm complexity |
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