%0 Journal Article
%T Super-Resolution Reconstruction of Compressed Video Based on Noise Distribution Property<br>基于噪声分布特性的压缩视频超分辨率重建
%A Xu Zhong-qiang
%A Zhu Xiu-chang
%A <br>徐忠强
%A 朱秀昌
%J 电子与信息学报
%D 2008
%I 
%X 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.
%K Compressed video
%K Super-resolution reconstruction
%K MAP
%K DCT quantization noise
%K Motion estimation noise<br>压缩视频
%K 超分辨率重
%K MAP
%K DCT量化噪声
%K 运动估计噪声
%K 加性噪声
%K 分布特性
%K 压缩视频
%K 超分辨率
%K 重建图像
%K Distribution
%K Property
%K Noise
%K Based
%K Compressed
%K Video
%K 客观质量
%K 算法
%K 仿真实验
%K 分析
%K 梯度下降法
%K 先验模型
%K 随机场
%K 调整
%K 自适应
%K 量化器
%K 成像过程
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=B81FE5B5EE2F3A52BC24ACD854118BDE&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=38B194292C032A66&sid=DB7D5E75BD4E2480&eid=B37ED91D1227CC95&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=14