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1.合肥工业大学 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 光电技术研究院, 安徽 合肥 230009
2.合肥工业大学 仪器科学与光电工程学院 安徽 合肥 230009
3.合肥工业大学 电子科学与应用物理学院 安徽 合肥 230009
[ "赵晨(1993-), 男, 安徽铜陵人, 硕士研究生, 2016年于辽宁科技大学获得学士学位, 主要从事机器视觉与光电检测技术等方向的研究。E-mail:chenzhaohfut@gmail.com" ]
[ "冯奇斌(1970-), 女, 天津人, 副教授, 硕士生导师, 2006年于维也纳工业大学获得博士学位, 主要从事立体显示、LED背光等方面的研究。E-mail:fengqibin@hfut.edu.cn" ]
收稿日期:2019-08-30,
修回日期:2019-10-28,
录用日期:2019-10-28,
纸质出版日期:2020-03-05
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赵晨, 吕国强, 吴磊, 等. 基于图像局部亮度的液晶显示器动态调光算法[J]. 液晶与显示, 2020,35(3):234-241.
Chen ZHAO, Guo-qiang LYU, Lei WU, et al. Dynamic dimming algorithm for liquid crystal display based on local brightness of image[J]. Chinese journal of liquid crystals and displays, 2020, 35(3): 234-241.
赵晨, 吕国强, 吴磊, 等. 基于图像局部亮度的液晶显示器动态调光算法[J]. 液晶与显示, 2020,35(3):234-241. DOI: 10.3788/YJYXS20203503.0234.
Chen ZHAO, Guo-qiang LYU, Lei WU, et al. Dynamic dimming algorithm for liquid crystal display based on local brightness of image[J]. Chinese journal of liquid crystals and displays, 2020, 35(3): 234-241. DOI: 10.3788/YJYXS20203503.0234.
为了合理降低液晶显示器的背光功耗,抑制像素补偿导致的截断噪声,减少显示图像的颜色和亮度失真,对基于图像特征的液晶显示器动态调光算法进行研究。首先,根据液晶显示器特性介绍了区域调光算法处理过程,分析了截断噪声产生的原因。提出了基于图像局部亮度的液晶显示器动态调光算法,即基于最大值法得到初始背光值,根据图像局部区域亮度与初始背光分布图对应区域亮度的相似程度修正初始背光值,通过模糊-掩模方法模拟背光的混光扩散过程,结合像素补偿得到调光图像。实验结果表明,使用基于图像局部亮度的液晶显示器动态调光算法处理后,背光功耗平均降低约31.54%;截断噪声平均低至像素总和的1.17%;L
*
a
*
b颜色空间峰值信噪比(LabPSNR)平均达到37.11dB。应用该算法能够合理降低显示器的背光功耗,使图像的截断噪声得到显著抑制,颜色和亮度失真明显改善,对于各类图像都具有良好的适用性。
In order to reasonably reduce the backlight power consumption of the liquid crystal display
suppress the clipping noise caused by pixel compensation and reduce the color and brightness distortion of the display image
the dynamic dimming algorithm of the liquid crystal display based on image features is studied. Firstly
according to the characteristics of liquid crystal display
the process of regional dimming algorithm is introduced
and the cause of clipping noise is analyzed. Then
the dynamic dimming algorithm of liquid crystal display based on local brightness of image is proposed to obtain the initial backlight value based on the maximum value method. The initial backlight value is corrected according to the similarity between the brightness of the local area of the image and the brightness of the corresponding area of the initial backlight distribution image. Through the Blur Mask Approach
the mixed light diffusion process of the backlight is simulated
and combining pixel compensation
a dimming image is obtained. The experimental results show that the backlight power consumption is reduced by about 31.54% on average
the truncation noise is as low as 1.17% of the total pixel
and the L
*
a
*
b color space peak signal-to-noise ratio(LabPSNR) is 37.11 dB on average. The application of the algorithm can reasonably reduce the backlight power consumption of the display
so that the truncation noise of the image is significantly suppressed
the color and brightness distortion are obviously improved
and the applicability is good for various images.
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