DocumentCode :
3669523
Title :
Fuzzy-rule-embedded reduction image construction method for image enlargement with high magnification
Author :
Hakaru Tamukoh;Noriaki Suetake;Hideaki Kawano;Ryosuke Kubota;Byungki Cha;Takashi Aso
Author_Institution :
Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Japan
Volume :
1
fYear :
2014
Firstpage :
228
Lastpage :
233
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.
Keywords :
"Interpolation","Fuzzy logic","Measurement uncertainty","Image edge detection","Image color analysis","Image resolution","TV"
Publisher :
ieee
Conference_Titel :
Computer Vision Theory and Applications (VISAPP), 2014 International Conference on
Type :
conf
Filename :
7294811
Link To Document :
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