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Perceptual contrast sensitivity based video quality assessment in DCT domain

机译:DCT域中基于感知对比度敏感度的视频质量评估

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Video quality assessment can be performed by comparing distorted video with the undistorted version by taking human vision system (HVS) into account. A perceptual vision sensitivity model is developed in this paper by systematically integrating visual attention and foveation mechanism into contrast sensitivity function (CSF). The model can accurately estimate a critical frequency beyond which the HVS cannot perceive contrast changes. Subsequently, a video quality metric is proposed by applying the new sensitivity model to a similarity measure between distorted video and reference one in the DCT domain. Experimental results with respect to publicly available video quality databases have demonstrated promising performance of the proposed quality metric.
机译:可以通过考虑人的视觉系统(HVS),将失真的视频与未失真的视频进行比较,来执行视频质量评估。通过将视觉注意力和偏爱机制系统地集成到对比敏感度函数(CSF)中,开发了一种感知性视觉敏感度模型。该模型可以准确估算HVS无法感知对比度变化的临界频率。随后,通过将新的敏感度模型应用于失真视频和DCT域中参考视频之间的相似性度量,提出了一种视频质量度量。关于公众可获得的视频质量数据库的实验结果证明了所提出的质量度量的有希望的性能。

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