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中文摘要：
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。
英文摘要：
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.
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同项目期刊论文
Stereoscopic Visual Attention Based Regional Bit Allocation Optimization for Multi-view Video Coding
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