Maritime infrared image enhancement based on morphological pseudotransmittance modulation and radiation source enhancement

IF 3.1 3区 物理与天体物理 Q2 INSTRUMENTS & INSTRUMENTATION Infrared Physics & Technology Pub Date : 2024-09-24 DOI:10.1016/j.infrared.2024.105564
Jihong Pei , Zhiying Yu , Jianghao Wu , Yang Zhao , Xuan Yang
{"title":"Maritime infrared image enhancement based on morphological pseudotransmittance modulation and radiation source enhancement","authors":"Jihong Pei ,&nbsp;Zhiying Yu ,&nbsp;Jianghao Wu ,&nbsp;Yang Zhao ,&nbsp;Xuan Yang","doi":"10.1016/j.infrared.2024.105564","DOIUrl":null,"url":null,"abstract":"<div><div>To address the problems of low contrast and fuzzy details in maritime infrared images, this paper constructs a pseudotransmittance model based on the principles of infrared radiation imaging, and proposes an enhancement algorithm of morphology single-scale pseudotransmittance modulation and radiation source enhancement. First, the original image is adaptively segmented to generate the radiation source region and the radiation source suppressed background. Then, the pseudotransmittance is calculated by estimating the radiation of the background through morphological methods. Finally, the pseudotransmittance is used to modulate the original image for background enhancement and the radiation source detail is enhanced as well. On this basis, an algorithm for maritime infrared image enhancement with morphological multiscale pseudotransmittance modulation and radiation source hierarchical fusion is developed to overcome the problem of edge overenhancement and neighbourhood enhancement. Experiments show that our methods perform well in detail and contrast enhancement and outperform other methods in both qualitative and quantitative evaluations.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"142 ","pages":"Article 105564"},"PeriodicalIF":3.1000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infrared Physics & Technology","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1350449524004481","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INSTRUMENTS & INSTRUMENTATION","Score":null,"Total":0}
引用次数: 0

Abstract

To address the problems of low contrast and fuzzy details in maritime infrared images, this paper constructs a pseudotransmittance model based on the principles of infrared radiation imaging, and proposes an enhancement algorithm of morphology single-scale pseudotransmittance modulation and radiation source enhancement. First, the original image is adaptively segmented to generate the radiation source region and the radiation source suppressed background. Then, the pseudotransmittance is calculated by estimating the radiation of the background through morphological methods. Finally, the pseudotransmittance is used to modulate the original image for background enhancement and the radiation source detail is enhanced as well. On this basis, an algorithm for maritime infrared image enhancement with morphological multiscale pseudotransmittance modulation and radiation source hierarchical fusion is developed to overcome the problem of edge overenhancement and neighbourhood enhancement. Experiments show that our methods perform well in detail and contrast enhancement and outperform other methods in both qualitative and quantitative evaluations.
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
基于形态伪透射率调制和辐射源增强的海事红外图像增强技术
针对海事红外图像对比度低、细节模糊等问题,本文根据红外辐射成像原理构建了伪透射率模型,并提出了形态学单尺度伪透射率调制与辐射源增强算法。首先,对原始图像进行自适应分割,生成辐射源区域和辐射源抑制背景。然后,通过形态学方法估计背景的辐射,计算伪透射率。最后,利用伪透射率对原始图像进行调制,以增强背景,同时增强辐射源细节。在此基础上,我们开发了一种利用形态学多尺度伪透射率调制和辐射源分层融合的海事红外图像增强算法,以克服边缘过度增强和邻域增强的问题。实验表明,我们的方法在细节和对比度增强方面表现良好,在定性和定量评估方面均优于其他方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
5.70
自引率
12.10%
发文量
400
审稿时长
67 days
期刊介绍: The Journal covers the entire field of infrared physics and technology: theory, experiment, application, devices and instrumentation. Infrared'' is defined as covering the near, mid and far infrared (terahertz) regions from 0.75um (750nm) to 1mm (300GHz.) Submissions in the 300GHz to 100GHz region may be accepted at the editors discretion if their content is relevant to shorter wavelengths. Submissions must be primarily concerned with and directly relevant to this spectral region. Its core topics can be summarized as the generation, propagation and detection, of infrared radiation; the associated optics, materials and devices; and its use in all fields of science, industry, engineering and medicine. Infrared techniques occur in many different fields, notably spectroscopy and interferometry; material characterization and processing; atmospheric physics, astronomy and space research. Scientific aspects include lasers, quantum optics, quantum electronics, image processing and semiconductor physics. Some important applications are medical diagnostics and treatment, industrial inspection and environmental monitoring.
期刊最新文献
Breaking dimensional barriers in hyperspectral target detection: Atrous convolution with Gramian Angular field representations Multi-Scale convolutional neural network for finger vein recognition Temporal denoising and deep feature learning for enhanced defect detection in thermography using stacked denoising convolution autoencoder Detection of black tea fermentation quality based on optimized deep neural network and hyperspectral imaging Hyperspectral and multispectral images fusion based on pyramid swin transformer
×
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