Fuzzy-rule-embedded Reduction Image Construction Method for Image Enlargement with High Magnification

Hakaru Tamukoh, Noriaki Suetake, Hideaki Kawano, Ryosuke Kubota, Byungki Cha, Takashi Aso

Abstract

This paper proposes a fuzzy-rule-embedded reduction image construction method for image enlargement. A fuzzy rule is generated by considering distribution of pixel value around a target pixel. The generated rule is embedded into the target pixel in a reduction image. The embedded fuzzy rule is used in a fuzzy inference to generate a highly magnified image from the reduction image. Experimental results, which scale factors are three and four, show that the proposed method realizes high-quality image enlargement in terms of both objective and subjective evaluations in comparison with conventional methods.

References

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Paper Citation


in Harvard Style

Tamukoh H., Suetake N., Kawano H., Kubota R., Cha B. and Aso T. (2014). Fuzzy-rule-embedded Reduction Image Construction Method for Image Enlargement with High Magnification . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-003-1, pages 228-233. DOI: 10.5220/0004851802280233


in Bibtex Style

@conference{visapp14,
author={Hakaru Tamukoh and Noriaki Suetake and Hideaki Kawano and Ryosuke Kubota and Byungki Cha and Takashi Aso},
title={Fuzzy-rule-embedded Reduction Image Construction Method for Image Enlargement with High Magnification},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={228-233},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004851802280233},
isbn={978-989-758-003-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)
TI - Fuzzy-rule-embedded Reduction Image Construction Method for Image Enlargement with High Magnification
SN - 978-989-758-003-1
AU - Tamukoh H.
AU - Suetake N.
AU - Kawano H.
AU - Kubota R.
AU - Cha B.
AU - Aso T.
PY - 2014
SP - 228
EP - 233
DO - 10.5220/0004851802280233