摘要
为了提高低照度视频的视觉效果,常常利用高质量白天亮度来增强夜间(低照度)视频。本文提出了一种亮度融合的视频增强方法。首先为了获取白天背景,采用了平均K帧的方法,然后使用Retinex理论,提取了白天背景和夜间视频帧的亮度,同时为了增强夜间移动物,采用帧差法提取了夜间视频帧的移动物,最后利用相同场景的白天背景亮度融合夜间帧的视频增强方法,为了改善夜间移动物体的感知度,提出了基于高斯滤波器的方法平滑移动物边界,使得增强结果更自然。实验结果表明了该算法在提高视觉质量上的有效性,且优于传统的方法。
In order to improve the visual effect of low illumination video,the high-quality daytime information of the same scene is often introduced to enhance nighttime video.A novel frame illumination-based method of video enhancement is proposed.In order to require daytime background,we firstly use averaging K frames method.Then,illumination of daytime background and nighttime video frames is extracted by using Retinex theory to enhance nighttime motion objects.Moreover,nighttime video frame＇s motion objects are extracted by using different frames method.Lastly,daytime illumination is used to fuse nighttime video problem of the same scene between daytime and nighttime videos.For improving the perception qualities of the moving objects,we further propose Gaussian filter method for nighttime video enhancement which is efficiently and smoothly moving objects to the reasonable enhancement results.Experimental results show the effectiveness of the proposed algorithm can improve visual quality over conventional methods.
出处
《光电工程》
CAS
CSCD
北大核心
2011年第8期132-138,共7页
Opto-Electronic Engineering
基金
江苏省高校自然科学基金项目(10KJD110007)
关键词
视频增强
亮度融合
运动分割
高斯滤波器
video enhancement
illumination fusion
motion segmentation
Gaussian filter
