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.