%0 Journal Article
%T Video Quality Evaluation Models Based on Human Visual Properties<br>符合人眼视觉特性的视频质量评价模型
%A WANG Nan
%A nan
%A LI Gui
%A ling
%A <br>王楠楠
%A 李桂苓
%J 中国图象图形学报
%D 2001
%I 
%X Picture quality evaluation methods could be utilized to assess image algorithms' performance. The evaluation of image quality includes subjective evaluation and objective test. The traditional subjective evaluation depends on observer's experiences and motivations, and therefore it is complex and its results always change. With the development of the video compression technology, it is very urgent to research new video quality evaluation method. The key point of the video quality evaluation is that its model should match the perceptive characteristics of human. Based on the visual acuity, contrast sensitivity function, multi channel structure and masking effect, this paper summarizes main properties of Human Visual System (HVS) taken into account in the assessment of the video quality. It also presents several comparatively satisfactory video quality models based on HVS, including spatio temporal model, RAI model, three dimension weighted signal to noise model and three layered bottom up noise weighting model. Their performances are also analyzed respectively. The perspective of video quality evaluation is given finally.
%K Video image
%K Quality evaluation
%K HVS
%K Visual model<br>视频图象
%K HVS
%K 视觉模型
%K 视觉质量评价
%K 视觉特性
%K 数字视频压缩技术
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=77C29C610AC5B82C&yid=14E7EF987E4155E6&vid=B31275AF3241DB2D&iid=B31275AF3241DB2D&sid=C81D738643975BB0&eid=F3549E0657848E2A&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=12&reference_num=2