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题名:
A nonlinear anisotropic GVF-shock diffusion method to multi-frame image super-resolution reconstruction
作者: Zhao, XD(赵晓冬); Cao, JZ(曹剑中); Zhou, ZF(周祚峰); Leng, Hanbing; Guo, HN(郭惠楠)
刊名: Journal of Information and Computational Science
出版日期: 2015-05-20
卷号: 12, 期号:8, 页码:3155-3164
英文摘要: This paper presents a new nonlinear anisotropic Gradient Vector Flow (GVF) shock diffusion method to multi-frame image Super-resolution (SR) reconstruction. Firstly, matrix-valued diffusion tensor is constructed based on anisotropic nonlinear structure tensor, making full use of its directional smooth characteristics. Then, an anisotropic GVF is proposed to diffuse along tangent and normal directions separately, combing with adaptively weighted shock filter to enhance edge sharpness. Experimental results show that proposed algorithm enhances image edges and suppresses noise effectively. Copyright © 2015 Binary Information Press.
收录类别: EI
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.opt.ac.cn/handle/181661/27348
Appears in Collections:动态光学成像研究室_期刊论文

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Recommended Citation:
Zhao, Xiaodong,Cao, Jianzhong,Zhou, Zuofeng,et al. A nonlinear anisotropic GVF-shock diffusion method to multi-frame image super-resolution reconstruction[J]. Journal of Information and Computational Science,2015-05-20,12(8):3155-3164.
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文件名: A nonlinear anisotropic GVF-shock diffusion method to multi-frame image super-resolution reconstruction.pdf
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