基于图像区域特征的分区调光算法

Local Dimming Algorithm Based on Image Local Characteristics

提出了一种基于图像区域特征的分区调光算法。首先,按背光分区对相应显示区域的图像特征进行提取和分类;然后基于改进的误差修正法得到该分区的初始背光值,再根据图像细节特征来调节亮度调光因子,最终确定输出的背光值;最后将输入显示图像使用高斯滤波进行高低频分离,按照细节含量的不同进行基于S曲线的像素补偿。实验结果表明,采用所提调光算法的显示器,与未采用调光技术的显示器相比,背光功耗降低了38.36%。与原有误差修正算法相比,图像的平均峰值信噪比提高了7.83 dB,平均信息熵提升了6.32%。证实本算法可以在较大幅度降低显示功耗、提升静态对比度的同时,更多地保留了原图像细节。

In order to balance image quality and power consumption,a local dimming algorithm based on image local features was proposed. Firstly,the image features of the corresponding display area were extracted and classified;then,the initial backlight value of the region was obtained based on the improved error correction method. The brightness dimming factor was adjusted according to the image detail characteristics to finally determine the output backlight value. Finally,the input display image was separated by Gaussian filter and the pixel compensation based on S-curve was carried out according to the different detail content. The experimental results showed that compared with the display without dimming technology,the backlight power consumption was reduced by 38.36%. Compared with the error correction algorithm,the average peak signal to noise ratio(PSNR) was increased by 7.83 dB and the average information entropy was increased by 6.32%.The proposed algorithm could greatly reduce the display power consumption and improve the static contrast,as well as retain more details of the original images.