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双目立体视频最小可辨失真模型及其在质量评价中的应用 被引量:4

Binocular Stereoscopic Video Just Noticeable Distortion Model and Its Application to Quality Assessment
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摘要 该文针对目前最小可辨失真(JND)模型只能应用于评价单视点视频的问题,探索一种以双眼亮度关系为基本出发点的双目立体视频的JND模型。首先根据立体视频特性引入双眼亮度关系模型,然后考虑了背景亮度掩盖、纹理掩盖、帧间掩盖、空间时间对比灵敏度、眼睛运动等因素,提出了双目JND模型,最后将该双目JND模型应用到立体视频质量评价方法中。实验结果表明该文提出的质量评价方法符合人类的视觉感知特性,更接近于主观测试结果。 Since current video quality assessment method based on Just Noticeable Distortion(JND) model can only assess monscopic video,a binocular JND model considering binocular luminance relationship is explored.First,binocular luminance relationship model is used according to stereo video characteristic.Then,many perception factors such as the background luminance masking effect,texture masking effect,intra-frame masking effect,spatiotemporal contrast sensitivity function,eye movement are considered.Finally,binocular JND model is applied to stereo video quality assessment.Experimental results prove that the proposed method can reflect the human visual perception characteristics and has a more consistency with the subjective judgments.
出处 《电子与信息学报》 EI CSCD 北大核心 2012年第3期698-703,共6页 Journal of Electronics & Information Technology
基金 国家自然科学基金重点项目(60832003) 国家自然科学基金(60902085 61172096 61171084) 上海市科委重点项目基金(10510500500) 安徽高校省级自然科学研究项目(KJ2011Z008)资助课题
关键词 图像处理 双目立体视频 最小可辨失真模型 质量评价 人类视觉系统 Image processing Binocular stereo video Just Noticeable Distortion(JND) Quality assessment Human Visual System(HVS)
作者简介 张艳:女,1979年生,博士生,研究方向为立体视频质量评价.通信作者:张艳zhangyan101@shu.edu.cn 安平:女,1968年生,教授,博士生导师,研究方向为图像及视频信号处理、编码及应用. 张兆杨:男,1938年生,教授,博士生导师,研究方向为数字视频处理及多媒体通信.
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