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Detection of Backlight Images Using Chrominance

机译:使用色度检测背光图像

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摘要

An image taken under the backlight condition shows that a main object or foreground appears very dark, but a background appears relatively bright since the exposure time of the main object or foreground is relatively shorter than the one of the background due to high luminance from the background. The determination of the backlight image is generally done by luminance histogram analysis since it is believed that the distinct characteristic of the backlight image is a large luminance difference between the foreground and background. However, this conventional detection method may not be adequate for video images since it generally targets on still images. Furthermore, the detection of the backlight image would not be performed well if there are abrupt changes in light, motion, or scenes. Inaccurate detection leads to unnecessary compensation that makes images over-highlighted or flickered, especially when consecutive frames of video have different illumination modes. Since an image taken under normal light conditions may also have the similar luminance characteristics of the backlight image, it would not be sufficient to discriminate between the normal light and backlight image using only luminance information. Therefore, the analysis of chrominance of images is introduced to detect the backlight image more accurately.
机译:在背光条件下拍摄的图像显示主要物体或前景看起来很暗,但背景显得相对明亮,因为主要物体或前景的曝光时间由于背景的高亮度而相对于背景时间较短。 。通常认为,背光图像的确定是通过亮度直方图分析来完成的,因为可以认为背光图像的独特特征是前景与背景之间的亮度差较大。但是,这种常规的检测方法可能不适用于视频图像,因为它通常以静止图像为目标。此外,如果光线,运动或场景突然变化,则背光图像的检测将无法很好地进行。错误的检测会导致不必要的补偿,从而导致图像过高或闪烁,特别是当连续的视频帧具有不同的照明模式时。由于在正常光线条件下拍摄的图像也可能具有与背光图像相似的亮度特性,因此仅使用亮度信息来区分正常光线和背光图像是不够的。因此,引入图像的色度分析以更准确地检测背光图像。

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