摘要
目的解决LCD显示器不同色温对人眼颜色感知有较大影响的问题。方法利用BP神经网络和色适应变换,提出了一种基于图像颜色相同感知的LCD显示器不同色温下的图像增强方法。结果客观验证100个颜色的平均色差为1.0441、最小色差为0.3034、最大色差为1.9757,符合视觉一致性的要求,利用该方法增强后图像主观评价的Z得分为0.61844。结论该方法能很好地解决图像在LCD显示器不同色温下显示效果的问题,达到了图像增强的目的。
This work aimed to solve the problem that different color temperatures of LCD monitor have a relatively great impact on the human eye color perception. A image enhancement method of perception of the same color under different color temperatures of LCD Monitor was proposed using advantages of the BP neural network nonlinear conversion and color adaptive transformation. The average color difference of the 100 colors was 1.0441, the minimum color difference was 0.3034, and the maximum color difference was 1.9757, which was consistent with the requirements of visual consistency. The image subjective Z score was 0.61844 after image enhancement using this method. This method could well solve the problem of image display on the LCD monitor under different color temperatures, to achieve the purpose of image enhancement.
出处
《包装工程》
CAS
CSCD
北大核心
2016年第11期171-175,共5页
Packaging Engineering
关键词
LCD显示器
色温
颜色感知
BP神经网络
色适应
图像增强
LCD monitor
color temperature
color perception
BP neural network
chromatic adaptation
image enhancement
