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ASME Press Select Proceedings
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)
ISBN:
9780791859919
No. of Pages:
2000
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
184 Multi-Frame Image Super-Resolution Base on Gradient Vector Flow
By
Zuofeng Zhou
,
Zuofeng Zhou
Xi'an Institute of Optics and Precision Mechanics
, Chinese Academy of Sciences, Xi'an, 710119
, P. R. China
; zfzhou@opt.ac.cn
Search for other works by this author on:
Jianzhong Cao
,
Jianzhong Cao
Xi'an Institute of Optics and Precision Mechanics
, Chinese Academy of Sciences, Xi'an, 710119
, P. R. China
Search for other works by this author on:
Hao Wang
Hao Wang
Xi'an Institute of Optics and Precision Mechanics
, Chinese Academy of Sciences, Xi'an, 710119
, P. R. China
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Page Count:
5
-
Published:2011
Citation
Zhou, Z, Cao, J, & Wang, H. "Multi-Frame Image Super-Resolution Base on Gradient Vector Flow." International Conference on Computer Technology and Development, 3rd (ICCTD 2011). Ed. Zhou, J. ASME Press, 2011.
Download citation file:
Multi-frame super-resolution reconstruction aims to fuse several low resolution images into one image with high optical resolution. In this paper, a new regularization-based multi-frame image super-resolution algorithm is presented. Utilizing the gradient directional information, the proposed algorithm uses the gradient vector flow to measure the gradient consistency between the high-resolution image and low-resolution images. Experiment results show that the proposed algorithm achieves better performance than other multi-frame image super-resolution methods.
Abstract
Key Words
1 Introduction
2 Super Resolution Based on Gradient Vector Flow
3 The Implementation of the Proposed Algorithm
4 Experiment Results
5 Conclusions
Acknowledge
References
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