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	An adaptive perceptual quantization algorithm based on block-level JND for video coding
	Xiang, Guoqing ; Xie, Xiaodong ; Jia, Huizhu ; Huang, Xiaofeng ; Liu, Jie ; Wei, Kaijin ; Bai, Yuanchao ; Liao, Pei ; Gao, Wen
	2014
英文摘要	It has been widely demonstrated that integrating efficient perceptual measures into traditional video coding framework can improve subjective coding performance significantly. In this paper, we propose a novel block-level JND (just-noticeable-distortion) model, which has not only adjusted pixel-level JND thresholds with more block characteristics, but also integrated them into a blocklevel model. And the model has been applied for adaptive perceptual quantization for video coding. Experimental results show that our model can save bit rates up to 24.5% on average with negligible degradation of the perceptual quality.; EI; 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/329950]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Xiang, Guoqing,Xie, Xiaodong,Jia, Huizhu,et al. An adaptive perceptual quantization algorithm based on block-level JND for video coding. 2014-01-01.

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