中国科学院机构知识库网格系统: Super-resolution using adaptive blur parameter estimation (EI CONFERENCE)

中国科学院机构知识库网格

Chinese Academy of Sciences Institutional Repositories Grid

Super-resolution using adaptive blur parameter estimation (EI CONFERENCE)

文献类型：会议论文


作者	Wang H.; Wang H.; Wang H.; Wang H.; Liu G.
出版日期	2010
会议名称	2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010
会议地点	Chengdu, China
关键词	Super-resolution is a term for a set of methods of increasing image or video resolution. All these methods are based on the same idea: using information from several images to create one upsized image. In most of the super-resolution algorithms the blur parameter of a LR-image model is always manually set as a default value. In this paper we propose a method to adaptively estimate the blur parameter. We get the initial image of iteration by fusing all low-resolution images. When it is used in MAP algorithm three iterations are enough to get a stable solution. It is greatly reduce the computational power compared with other MAP algorithms. Experiments to real image sequences show that it well preserved the image detail and the reconstructed image is clear. 2010 IEEE.
收录类别	EI
源URL	[http://ir.ciomp.ac.cn/handle/181722/33768]
专题	长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式 GB/T 7714	Wang H.,Wang H.,Wang H.,et al. Super-resolution using adaptive blur parameter estimation (EI CONFERENCE)[C]. 见:2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010. Chengdu, China.

入库方式： OAI收割

来源：长春光学精密机械与物理研究所

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