Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society

Image Resolution Enhancement Method Based on Feature Space

Authors
Liqun Wang, Honghui Fan
Corresponding Author
Liqun Wang
Available Online April 2016.
DOI
10.2991/emim-16.2016.148How to use a DOI?
Keywords
Resolution enhancement; Feature Space; Color image; Image process
Abstract

In this paper, an approach for resolution enhancement of color image based on feature space method is proposed. Many images, such as landscape, natural scene and so on, are fractal, and they can often be assumed as self-correlation. Focusing on this point, we describe the image by feature space. This method reflects the characteristics of color image, and realizes the image interpolation by using the feature space. Experiment result shows that this method can enhance the image resolution more effectively comparing with nearest neighbor interpolation and cube-convolution interpolation.

Copyright
© 2016, 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 6th International Conference on Electronic, Mechanical, Information and Management Society
Series
Advances in Computer Science Research
Publication Date
April 2016
ISBN
10.2991/emim-16.2016.148
ISSN
2352-538X
DOI
10.2991/emim-16.2016.148How to use a DOI?
Copyright
© 2016, 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  - Liqun Wang
AU  - Honghui Fan
PY  - 2016/04
DA  - 2016/04
TI  - Image Resolution Enhancement Method Based on Feature Space
BT  - Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SP  - 715
EP  - 719
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.148
DO  - 10.2991/emim-16.2016.148
ID  - Wang2016/04
ER  -