Image quality enhancement support system by γ correction using interactive evolutionary computation

被引：0
|
作者：
Tokuda, Yuichiro [1 ]
Hashino, Yasuhiro [1 ]
Ohashi, Gosuke [1 ]
Tsukada, Masato [2 ]
Kobayashi, Reiichi [3 ]
Shimodaira, Yoshifumi [1 ]
机构：
[1] Shizuoka Univ, Fac Engn, Naka Ku, 3-4-1 Johoku, Shizuoka 4328561, Japan
[2] NEC Corp Ltd, Common Platform Software Res Lab, Kawasaki, Kanagawa 2118666, Japan
[3] NEC Display Solut, Kanagawa, Japan
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8 | 2007年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
By noting gamma correction as one of the image quality adjustment parameters, the authors create an image quality enhancement support system capable of reflecting user subjectivity. In this study, the derivation of an optimum gamma value is formulated as an optimization problem. To reflect user subjectivity, an image quality enhancement support system is realized by interactive evolutionary computation. This technique is verified by comparing it with a manually derived gamma value, image quality, and derivation time.
引用
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页码：814 / +
页数：2
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