A Novel Layer Based Image Fusion Approach via Transfer Learning and Coupled Dictionary

被引:0
作者
Hu, Kai [1 ]
Sun, Bin [1 ]
Deng, Qiao [1 ]
Yang, Qi [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Aeronaut & Astronaut, 2006 Xiyuan Ave, Chengdu 611731, Sichuan, Peoples R China
来源
COMPUTER VISION, PT II | 2017年 / 772卷
基金
中国国家自然科学基金;
关键词
Image fusion; Layer division; Transfer learning; Coupled dictionary; PERFORMANCE; FRAMEWORK;
D O I
10.1007/978-981-10-7302-1_17
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A novel layer based image fusion method is proposed in this paper. It exploits and utilizes the implicated patterns among source images with two parts: (i) proposed a more precise model roots in transfer learning and coupled dictionary for layering source images; (ii) designed appropriate fusion scheme which bases on multi-scale transformation for recombining layers into final fused image efficiently. Rigorous experimental comparison in subjective and objective demonstrates that proposed image fusion method achieves better result in visual perception and computer process.
引用
收藏
页码:199 / 209
页数:11
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