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遥感技术与应用  2002, Vol. 17 Issue (4): 224-229    DOI: 10.11873/j.issn.1004-0323.2002.4.224
图像处理     
像素级图像融合方法与融合效果评价
夏明革1,2,何 友1,欧阳文2
(1.海军航空工程学院电子工程系,山东烟台  264001;
2.海军工程大学兵器工程系,湖北武汉  430033)
Pixel Level Image Fusion Methods and Fusion Performance Evaluation
XIA Ming-ge1,2, HE You1, OUYANG Wen2
(1.Naval Aeronautical Engineering Institute,Yantai264001,China;
2.Dept.of Weaponry Eng. ,Naval Univ.of Engineering,Wuhan430033,China)
 全文: PDF 
摘要:

图像融合的目的是将同一场景的多幅图像的互补信息合并成一幅新图像,以便更好地完成场景进行监视和侦察等任务,是在多测度空间综合处理多源图像和图像序列的技术。融合图像更适合人的视觉和便于图像的后续处理,如图像分割、特征提取等。介绍了像素级图像融合的几种方法,按空间域和变换域对各种方法进行了分类,并对各种方法进行了比较;融合图像应保留原图像的重要细节信息且不引入虚假信息;介绍了用交叉熵进行图像融合效果评价的方法。

关键词: 图像融合图像代数金字塔变换小波变换交叉熵    
Abstract:

Image fusion is currently an active research field. The objective of image fusion is to combine
information from multiple images of the same scene to achieve inferences that cannot be achieved with a
single image or source. Image fusion refers to the techniques that integrate complementary information
from multi-image sensor data such that the new images are more suitable for the purpose of human visual
perception and the computer-processing tasks such as segmentation, feature extraction, and object
recognition. There are two essential requirements for image fusion: (1) pattern conservation: important
details of the component images must be preserved in the composite image; and (2) spurious elements
avoidance: it must not introduce any new pattern elements or artifacts that could interfere with subsequent
image analysis and reconstruction. Pixel level fusion is low-level fusion which uses basic information. In
this paper, a few image fusion methods are discussed and compared, and image fusion is classified based on
space domain and transform domain. Performance evaluation of multi-sensor image fusion is a key problem
in image fusion. This paper discusses performance evaluation of image fusion using cross entropy too.

Key words: Image fusion    Image algebra    Pyramid transform    Wavelet transform    Cross entropy
收稿日期: 2002-04-22 出版日期: 2011-11-21
:  TP 391.41  
基金资助:

高等学校全国优秀博士学位论文作者专项基金(200036)。

作者简介: 夏明革(1967-),男,博士生,从事遥感图像处理及应用研究。
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引用本文:

夏明革,何 友,欧阳文. 像素级图像融合方法与融合效果评价[J]. 遥感技术与应用, 2002, 17(4): 224-229.

XIA Ming-ge, HE You, OUYANG Wen. Pixel Level Image Fusion Methods and Fusion Performance Evaluation. Remote Sensing Technology and Application, 2002, 17(4): 224-229.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2002.4.224        http://www.rsta.ac.cn/CN/Y2002/V17/I4/224

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