Review of Pixel-Level Image Fusion

Image fusion can be performed at different levels： signal, pixel, feature and symbol levels. Almost all image fusion algorithms developed to date fall into pixel level. This paper provides an overview of the most widely used pixel-level image fusion algorithms and some comments about their relative...

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Bibliographic Details
Published in:Shanghai jiao tong da xue xue bao 2010-02, Vol.15 (1), p.6-12
Main Author: 杨波 敬忠良 赵海涛
Format: Article
Language:English
Subjects:
Architecture
Computer Science
Electrical Engineering
Engineering
Life Sciences
Materials Science
像素水平
像素级
图像融合算法
多尺度
相对优势
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Summary:Image fusion can be performed at different levels： signal, pixel, feature and symbol levels. Almost all image fusion algorithms developed to date fall into pixel level. This paper provides an overview of the most widely used pixel-level image fusion algorithms and some comments about their relative strengths and weaknesses. Particular emphasis is placed on multiscale-based methods. Some performance measures practicable for pixel-level image fusion are also discussed. At last, prospects of pixel-level image fusion are made.
ISSN:1007-1172
1995-8188
DOI:10.1007/s12204-010-7186-y