图像融合技术综述

Karishma C Bhataria, Bhumika Shah
{"title":"图像融合技术综述","authors":"Karishma C Bhataria, Bhumika Shah","doi":"10.1109/ICCMC.2018.8487686","DOIUrl":null,"url":null,"abstract":"The technique of blending two images or more than two images which produces outcome as the composite fused image. The obtained fused image is the upgraded version of original images because it has all the salient information. The present applications makes majority usage of this fused image to speed up their processing tasks in their respective fields. Recent real-time applications which require image fusion are remote sensing applications, medical applications, surveillance application, photography applications etc. The broad categorization of image fusion techniques are Non-transform domain or spatial domain and Transform domain or frequency domain. This paper initiates with the introduction of image fusion. In the second section it explains the levels of fusion. The third section explains generic image fusion strategy. Further sections elaborates the taxonomy of image fusion techniques and their comparative tables lists all the merits and demerits of the same.","PeriodicalId":6604,"journal":{"name":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","volume":"44 1","pages":"114-123"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"A Review of Image Fusion Techniques\",\"authors\":\"Karishma C Bhataria, Bhumika Shah\",\"doi\":\"10.1109/ICCMC.2018.8487686\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The technique of blending two images or more than two images which produces outcome as the composite fused image. The obtained fused image is the upgraded version of original images because it has all the salient information. The present applications makes majority usage of this fused image to speed up their processing tasks in their respective fields. Recent real-time applications which require image fusion are remote sensing applications, medical applications, surveillance application, photography applications etc. The broad categorization of image fusion techniques are Non-transform domain or spatial domain and Transform domain or frequency domain. This paper initiates with the introduction of image fusion. In the second section it explains the levels of fusion. The third section explains generic image fusion strategy. Further sections elaborates the taxonomy of image fusion techniques and their comparative tables lists all the merits and demerits of the same.\",\"PeriodicalId\":6604,\"journal\":{\"name\":\"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)\",\"volume\":\"44 1\",\"pages\":\"114-123\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCMC.2018.8487686\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Second International Conference on Computing Methodologies and Communication (ICCMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMC.2018.8487686","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19

摘要

将两幅或两幅以上图像混合,产生合成融合图像的技术。融合后的图像具有所有显著信息,是原始图像的升级版。目前的应用程序大多使用这种融合图像来加快各自领域的处理任务。最近需要图像融合的实时应用有遥感应用、医疗应用、监控应用、摄影应用等。图像融合技术大致分为非变换域或空间域和变换域或频域。本文首先介绍了图像融合。第二部分解释了融合的层次。第三部分解释了通用的图像融合策略。进一步的章节详细阐述了图像融合技术的分类和他们的比较表列出了所有的优点和缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A Review of Image Fusion Techniques
The technique of blending two images or more than two images which produces outcome as the composite fused image. The obtained fused image is the upgraded version of original images because it has all the salient information. The present applications makes majority usage of this fused image to speed up their processing tasks in their respective fields. Recent real-time applications which require image fusion are remote sensing applications, medical applications, surveillance application, photography applications etc. The broad categorization of image fusion techniques are Non-transform domain or spatial domain and Transform domain or frequency domain. This paper initiates with the introduction of image fusion. In the second section it explains the levels of fusion. The third section explains generic image fusion strategy. Further sections elaborates the taxonomy of image fusion techniques and their comparative tables lists all the merits and demerits of the same.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Modelling of Audio Effects for Vocal and Music Synthesis in Real Time Deep Learning Framework for Diabetic Retinopathy Diagnosis A Comprehensive Survey on Internet of Things Based Healthcare Services and its Applications Exploring Pain Insensitivity Inducing Gene ZFHX2 by using Deep Convolutional Neural Network Atmospheric Weather Prediction Using various machine learning Techniques: A Survey
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1