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 inShanghai jiao tong da xue xue bao Vol. 15; no. 1; pp. 6 - 12
Main Author 杨波 敬忠良 赵海涛
Format Journal Article
LanguageEnglish
Published Heidelberg Shanghai Jiaotong University Press 01.02.2010
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
pixel-level
performance evaluation
TP 391
image fusion
wavelets
Online AccessGet full text
ISSN1007-1172
1995-8188
DOI10.1007/s12204-010-7186-y

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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.
Bibliography:31-1943/U
TP391.41
TB852.1
image fusion, pixel-level, wavelets, performance evaluation
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1007-1172
1995-8188
DOI:10.1007/s12204-010-7186-y