Reconstruction of super-resolution image based on neural network

Mei Liu; Hui Nian Liu; Wei Dong Liu; Yan Zhen Wang; Rong Qing Xu

Reconstruction of super-resolution image based on neural network

Mei Liu^*
, Hui Nian Liu
, Wei Dong Liu
, Yan Zhen Wang
, Rong Qing Xu

^*Corresponding author for this work

School of Electronics and Information Engineering

Harbin Institute of Technology
Sci. and Technol. Devmt. Ctr.
Beijing Datang Gaohong Network Co.

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

The reconstruction of super-resolution image based on backpropagation neural network algorithm is proposed to provide a higher quality reconstructed image with the resolution improved by 4 times to avoid error accumulating of CG iterations and to get high-resolution image by using backpropagation neural network to map the nonlinear processing of reconstruction. It differs from those methods based on equation iterative solution and can greatly improve the quality of super-resolution image.

Original language	English
Pages (from-to)	707-710
Number of pages	4
Journal	Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology
Volume	35
Issue number	6
State	Published - Jun 2003

Keywords

Conjugate gradient
Image reconstruction
Neural network
Super-resolution

Cite this

@article{177d0f4035dd47e4b9fcb311848c34dd,

title = "Reconstruction of super-resolution image based on neural network",

abstract = "The reconstruction of super-resolution image based on backpropagation neural network algorithm is proposed to provide a higher quality reconstructed image with the resolution improved by 4 times to avoid error accumulating of CG iterations and to get high-resolution image by using backpropagation neural network to map the nonlinear processing of reconstruction. It differs from those methods based on equation iterative solution and can greatly improve the quality of super-resolution image.",

keywords = "Conjugate gradient, Image reconstruction, Neural network, Super-resolution",

author = "Mei Liu and Liu, \{Hui Nian\} and Liu, \{Wei Dong\} and Wang, \{Yan Zhen\} and Xu, \{Rong Qing\}",

year = "2003",

month = jun,

language = "英语",

volume = "35",

pages = "707--710",

journal = "Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology",

issn = "0367-6234",

publisher = "Harbin Institute of Technology",

number = "6",

}

TY - JOUR

T1 - Reconstruction of super-resolution image based on neural network

AU - Liu, Mei

AU - Liu, Hui Nian

AU - Liu, Wei Dong

AU - Wang, Yan Zhen

AU - Xu, Rong Qing

PY - 2003/6

Y1 - 2003/6

N2 - The reconstruction of super-resolution image based on backpropagation neural network algorithm is proposed to provide a higher quality reconstructed image with the resolution improved by 4 times to avoid error accumulating of CG iterations and to get high-resolution image by using backpropagation neural network to map the nonlinear processing of reconstruction. It differs from those methods based on equation iterative solution and can greatly improve the quality of super-resolution image.

AB - The reconstruction of super-resolution image based on backpropagation neural network algorithm is proposed to provide a higher quality reconstructed image with the resolution improved by 4 times to avoid error accumulating of CG iterations and to get high-resolution image by using backpropagation neural network to map the nonlinear processing of reconstruction. It differs from those methods based on equation iterative solution and can greatly improve the quality of super-resolution image.

KW - Conjugate gradient

KW - Image reconstruction

KW - Neural network

KW - Super-resolution

UR - https://www.scopus.com/pages/publications/0242691794

M3 - 文章

AN - SCOPUS:0242691794

SN - 0367-6234

VL - 35

SP - 707

EP - 710

JO - Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology

JF - Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology

IS - 6

ER -

Reconstruction of super-resolution image based on neural network

Abstract

Keywords

Other files and links

Fingerprint

Cite this