摘要
结合人眼对显著物体及运动目标的感知特性,提出了一种基于时域加权处理的视频质量客观评价方法。首先利用经典的结构相似性算法得出单帧图像质量分数,然后依据视频中图像组(GoP)不同类型帧失真对视频质量的影响程度对每一帧图像质量进行加权得到每个图像组的质量分数,最后分别利用显著性和时间感知信息对所有的图像组进行时域加权处理,并均衡二者的权重得出最终的视频质量客观评价值。在LIVE视频数据库上进行性能测试,实验结果表明,该方法与主观评价结果有较好的一致性,评价效果优于现有的典型模型。
In combination of the perceiving characteristics of human eyes for salient objects and moving targets,a video quality evaluation method based on time-weighted processing is proposed.Firstly,the quality score of single frame is obtained by using the classical structural similarity algorithm,and then the quality score of each group of pictures（GoP）is weighted to obtain the GoP mass score according to the influence of different types of frame distortions on the video quality in the video.Finally,all GoPs are time-weighted with saliency and temporal perceptual information,and the weights of both are equalized to get the final objective video quality evaluation value.The proposed metric is tested on the LIVE video database.The experimental results show that this method has good consistency with the subjective evaluation results,and the evaluation results are better than the existing classical models.
作者
程德强
许超
李岩
游大磊
陈刚
Cheng Deqiang;Xu Chao;Li Yan;You Dalei;Chen Gang(School of Information and Control Engineering,China University of Mining and Technology,Xuzhou,Jiangsu 221008,China;School of Information Engineering,Henan Vocational College of Applied Technology,Kaifeng,Henan 475000,China)
出处
《激光与光电子学进展》
CSCD
北大核心
2018年第8期262-267,共6页
Laser & Optoelectronics Progress
基金
国家自然科学基金(51774281)
江苏省"六大人才高峰"高层次人才培养项目(2015-ZBZZ-009)
关键词
图像处理
视频质量评价
显著性
时间感知信息
图像组
image processing
video quality assessment
saliency
temporal perceptual information
group ofpictures
