Proceedings of the 2015 Conference on Informatization in Education, Management and Business

Research on Novel Natural Image Reconstruction and Representation Algorithm based on Clustering and Modified Neural Network

Authors
Lu Dong-xing
Corresponding Author
Lu Dong-xing
Available Online September 2015.
DOI
https://doi.org/10.2991/iemb-15.2015.21How to use a DOI?
Keywords
Natural Image; Clustering Method; Modified Neural Network; Image Representation.
Abstract

In this paper, we conduct research on the novel natural image reconstruction and representation algorithm based on clustering and modified neural network. Image resolution enhancement is one of the earliest researches of single image interpolation. Although the traditional interpolation and method for single image amplification is effect, but did not provide more useful information. Our method combines the neural network and the clustering approach. The experiment shows that our method performs well and satisfactory.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 Conference on Informatization in Education, Management and Business
Series
Advances in Social Science, Education and Humanities Research
Publication Date
September 2015
ISBN
978-94-6252-105-6
ISSN
2352-5398
DOI
https://doi.org/10.2991/iemb-15.2015.21How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lu Dong-xing
PY  - 2015/09
DA  - 2015/09
TI  - Research on Novel Natural Image Reconstruction and Representation Algorithm based on Clustering and Modified Neural Network
BT  - Proceedings of the 2015 Conference on Informatization in Education, Management and Business
PB  - Atlantis Press
SP  - 107
EP  - 111
SN  - 2352-5398
UR  - https://doi.org/10.2991/iemb-15.2015.21
DO  - https://doi.org/10.2991/iemb-15.2015.21
ID  - Dong-xing2015/09
ER  -