Comparative Analysis of Different Techniques for Image Fusion

被引：1
|
作者：
Hu, Shigang [1 ]
Cao, Huiyi [1 ]
Wu, Xiaofeng [1 ]
Wu, Qingyang [1 ]
Tang, Zhijun [1 ]
Liu, Yunxin [2 ]
机构：
[1] Hunan Univ Sci & Technol, Sch Informat & Elect Engn, Xiangtan 411201, Peoples R China
[2] Hunan Univ Sci & Technol, Dept Phys & Elect Sci, Xiangtan 411201, Peoples R China
来源：
RECENT DEVELOPMENTS IN INTELLIGENT SYSTEMS AND INTERACTIVE APPLICATIONS (IISA2016) | 2017年 / 541卷
基金：
中国国家自然科学基金;
关键词：
Image fusion; Wavelet transform; Multi-resolution; DWT; WAVELET TRANSFORM;
D O I：
10.1007/978-3-319-49568-2_39
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Image fusion technology is an emerging field of research which is gaining currency in the recent years, Such technology focuses on extracting more concise and useful information with higher quality from source images. This paper deduces and generalizes the algorithms of the existing mainstream pixel level image fusion in details and realizes the Matlab experiment and adopts the contrast analysis to analyze the research findings. Wavelet analysis theory and fusion methods based on wavelet are introduced in detail. The techniques are compared by using different objective criteria. The feasibility and effectiveness of the image fusion technology based on wavelet transform are verified by experiments.
引用
收藏
页码：275 / 281
页数：7
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