[1]王丽丽,刘 辉,郭肇禄.图像融合在域内的算法研究进展[J].计算机技术与发展,2021,31(11):8-14.[doi:10. 3969 / j. issn. 1673-629X. 2021. 11. 002]
　WANG Li-li,LIU Hui,GUO Zhao-lu.Research Progress of Image Fusion Algorithms in Domain[J].,2021,31(11):8-14.[doi:10. 3969 / j. issn. 1673-629X. 2021. 11. 002]
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图像融合在域内的算法研究进展()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
31
期数:
2021年11期
页码:
8-14
栏目:
综述
出版日期:
2021-11-10

文章信息/Info

Title:
Research Progress of Image Fusion Algorithms in Domain
文章编号:
1673-629X(2021)11-0008-07
作者:
王丽丽; 刘 辉; 郭肇禄
江西理工大学 理学院,江西 赣州 341000
Author(s):
WANG Li-li; LIU Hui; GUO Zhao-lu
School of Science,Jiangxi University of Science and Technology,Ganzhou 341000,China
关键词:
图像融合; 变换域; 空间域; 评价标准; 应用领域
Keywords:
image fusion; transformation domain; spatial domain; evaluation criterion; application field
分类号:
TP391
DOI:
10. 3969 / j. issn. 1673-629X. 2021. 11. 002
摘要:
图像作为信息的主要载体,人们可从图像中获取更多后期决策的依据。 由于获取图像的条件不同,导致在进行多幅图像融合时采取的方法不尽相同。 如何从同一场景的不同图像中获取更为丰富的信息成为图像融合的关键问题。 首先,对各种类型的图像融合进行总结得出图像融合的具体概念。 其次,概述图像融合的经典理论及方法,根据处理对象将融合方法分为基于变换域的方法和基于空间域的方法并对其进行对比分析。 接着,分析表征融合图像质量的主要评价标准特点和选取依据。 最后,从医学诊断、遥感观测、摄影技术和监测应用等领域综述图像融合技术取得的突破,并重点对比分析各领域所用方法的优势与不足,探索现有融合方法的改进策略以及图像融合应用领域的推广。
Abstract:
Image as the main carrier of information,people can get more basis for later decision - making from images. Because of the different conditions? ? of obtaining images,different methods are adopted when fusing multiple images. How to get richer information from different images in the same scene has become the key problem of image fusion. Firstly,we summarize various types of image fusion and get the specific concept of image fusion. Then,the classical theories and methods of image fusion are summarized,and the fusion methods are divided into transform domain-based methods and spatial domain-based methods according to the processing objects. Then,the characteristics and selection basis of the main evaluation criteria characterizing the quality of fused images are analyzed. Finally, the breakthroughs in image fusion technology are summarized from the fields of medical diagnosis,remote sensing observation,photography technology and monitoring application, and the advantages and disadvantages of the methods used in various fields are emphatically compared and analyzed,and the improvement strategies of existing fusion methods and the popularization of image fusion application fields are explored.

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更新日期/Last Update: 2021-11-10