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检索条件"机构=Jiangsu Key Laboratory of Image Processing and Image Communication"
304 条 记 录,以下是301-310 订阅
排序:
Compressed video super-resolution reconstruction based on regularized algorithm
Compressed video super-resolution reconstruction based on re...
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International Conference on Signal processing Proceedings (ICSP)
作者: Xu Zhong-qiang Gan Zongliang Zhu Xiu-chang Information Industry Ministry and Jiangsu Province Key Laboratory of Image Processing & Image Communication Nanjing University of Posts and Telecommunications Nanjing China
Estimating high-resolution (HR) video from a sequence of low-resolution (LR) compressed observations is the focus of this paper. Based on the theory of regularization, this paper proposes a new form of regularized cos... 详细信息
来源: 评论
Super-Resolution Reconstruction of Compressed Video Based on Adaptive Quantization Constraint Set
Super-Resolution Reconstruction of Compressed Video Based on...
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International Conference on Innovative Computing, Information and Control (ICICIC)
作者: Zhong-qiang Xu Xiu-chang Zhu Ministry Strategic Key Laboratory of Image Processing and Image Communication Nanjing University of Posts and Telecommunications Nanjing China
Super-resolution (SR) technique is to estimate the high-resolution (HR) images by combining the non-redundant information that is available into a set of low-resolution (LR) images, which has been a great focus for co... 详细信息
来源: 评论
An Adaptive Fractional Pixel Search Algorithm
An Adaptive Fractional Pixel Search Algorithm
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International Conference on Intelligent Sensing and Information processing (ICISIP)
作者: Liquan Shen Zhaoyang Zhang Zhi Liu Wenjun Zhang Key Laboratory of Advanced Display and System Application Ministry of Education Shanghai University Shanghai China Institute of Image Communication& Information Processing Shanghai Jiaotong University China
In this paper, we propose an adaptive fractional pixel search algorithm for reduction computation its load. Based on that SAD (sum of absolute difference) error surface is unimodal within the range of plusmn1 pixel, a... 详细信息
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A Novel Method to Get Super-Resolution images from Low-Resolution Compressed Video
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The Journal of China Universities of Posts and Telecommunications 2005年 第2期12卷 50-54页
作者: ZHOU Liang ZHU Xiu-chang Information Industry Ministry and Jiangsu Province Key Lab of Image Processing and Image Communication Nanjing University of Posts and Communications Nanjing 210003 P. R. China
In order to resolve the problems of discontented restoration effect and confined applying scope which exist in the current compressed video restoration algorithms, a novel method to get super-resolution images from lo... 详细信息
来源: 评论