差别阈值法我要分享

Difference threshold value method

matlab 阈值 差别

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中文说明:在第三步的后处理过程中,主要基于人类视觉的一些特性。人类视觉分为低照度下的暗视觉和正常照明下的明视觉以及中间视觉。在暗视觉条件下,人类视觉的对比度分辨率很低。因此,根据退化模型恢复出来的图像虽然对比度很高,细节比较丰富,但由于暗视觉条件下,没有达到人类视觉对比度分辨率的阈值,所以仍然不能被人类视觉感知。因此,需要通过增强图像的亮度,使图像适合人眼观察。人类视觉对比度分辨率阈值称为JND(Just-noticeable difference),定义为在一幅背景均匀的图像中,人的视觉系统所能感知的、均匀物体与背景之间的最小亮度差异。


English Description:

In the third step of post-processing, it is mainly based on some characteristics of human vision. Human vision is divided into dark vision under low illumination, light vision under normal illumination and intermediate vision. In dark vision, the contrast resolution of human vision is very low. Therefore, although the image restored according to the degradation model has high contrast and rich details, it still cannot be perceived by human vision because it does not reach the threshold of human visual contrast resolution in dark vision. Therefore, we need to enhance the brightness of the image to make the image suitable for human eye observation. The human visual contrast resolution threshold is called JND (just noticeable)


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