Multi-frame super-resolution reconstruction algorithm based on diffusion tensor regularization term

	Multi-frame super-resolution reconstruction algorithm based on diffusion tensor regularization term
	Zhao, Xiao Dong; Zhou, Zuo Feng; Cao, Jian Zhong; Ren, Long; Liu, Guang Sen; Wang, Hua; Wu, Deng Shan; Tan, Jia Hai
	2014
会议名称	International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2014
会议录名称	Vehicle, Mechatronics and Information Technologies II
页码	2828-2832
会议日期	2014-02-19
会议地点	Beijing, China
会议主办者	INTIEA Information and Engineering; Scientific.Net; Trans Tech publications inc.; National Institute of Technology Rourkela; Universitatea Politehnica Din Bucuresti; et al
出版者	Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635, Switzerland
产权排序	1
摘要	This paper presents a multi-frame super-resolution (SR) reconstruction algorithm based on diffusion tensor regularization term. Firstly, L1-norm structure is used as data fidelity term, anisotropic diffusion equation with directional smooth characteristics is introduced as a prior knowledge to optimize reconstruction result. Secondly, combined with shock filter, SR reconstruction energy functional is established. Finally, Euler-Lagrange equation based on nonlinear diffusion model is exported. Simulation results validate that the proposed algorithm enhances image edges and suppresses noise effectively, which proves better robustness.
作者部门	飞行器光学成像与测量技术研究室
收录类别	EI
语种	英语
ISSN号	16609336
文献类型	会议论文
条目标识符	http://ir.opt.ac.cn/handle/181661/22559
专题	飞行器光学成像与测量技术研究室
推荐引用方式 GB/T 7714	Zhao, Xiao Dong,Zhou, Zuo Feng,Cao, Jian Zhong,et al. Multi-frame super-resolution reconstruction algorithm based on diffusion tensor regularization term[C]:Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635, Switzerland,2014:2828-2832.

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