中文摘要：

为了获取低照度环境下更多的图像信息，本文基于OpenCV这个开源的机器视觉库平台，利用人类视觉对比度分辨率补偿和运动序列的帧间时域滤波，对低照度下的视频进行处理。通过对本地存储的低照度视频的处理，验证了该算法能有效地增强图像的信息。

英文摘要：

In order to get more information from the image under low illuminative environment, we process the video frames with the compensation of contrast resolution algorithms utilizing the OpenCV that is a library for real time com- puter vision. We applied the algorithm to the scotopic video collected before and the results show that the algorithm can effectively enhance the image information.