Super-resolution reconstruction of compressed video based on noise distribution property

被引：0
|
作者：
Jiangsu Province Key Lab. of Image Processing and Image Communication, Information Industry Ministry, Nanjing University of Posts and Telecommunications, Nanjing 210003, China [1 ]
机构：
[1] Jiangsu Province Key Lab. of Image Processing and Image Communication, Information Industry Ministry, Nanjing University of Posts and Telecommunications
来源：
Dianzi Yu Xinxi Xuebao | 2008年 / 3卷 / 752-755期
关键词：
Compressed video; DCT quantization noise; MAP; Motion estimation noise; Super-resolution reconstruction;
D O I：
10.3724/sp.j.1146.2006.01255
中图分类号：
学科分类号：
摘要：
This paper models the process of video compression, DCT quantization noise and motion estimation noise with exploiting the quantization step size and motion information embedded in the bit-stream. Together with the additive noise term of imaging, the proposed total noise term adaptively adjusts for different quantizers. With a Huber-Markov Random Field (HMRF) as the prior model, the gradient descent algorithm and MAP super-resolution reconstruction are presented and their performances are also analyzed. Simulation results show that proposed algorithm obtains better objective and subjective performances.
引用
收藏
页码：752 / 755
页数：3
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