Functionality assessment of algorithms for the coloring of images in terms of increasing radiometric values of aerial photographs archives

I. Ewiak, K. Siok, A. Jenerowicz
{"title":"Functionality assessment of algorithms for the coloring of images in terms of increasing radiometric values of aerial photographs archives","authors":"I. Ewiak, K. Siok, A. Jenerowicz","doi":"10.14681/AFKIT.2016.001","DOIUrl":null,"url":null,"abstract":"Available on the commercial market are a number of algorithms that enable assigning to pixels of a monochrome digital image suitable colors according to a strictly defined schedule. These algorithms have been recently used by professional film studios involved in the coloring of archival productions. This article provides an overview on the functionality of coloring algorithms in terms of their use to improve the interpretation quality of historical, black-and-white aerial photographs. The analysis covered intuitive (Recolored) programs, as well as more advanced (Adobe After Effect, DaVinci Resolve) programs. The use of their full functionality was limited by the too large information capacity of aerial photograph images. Black-and-white historical aerial photographs, which interpretation quality in many cases does not meet the criteria posed on photogrammetric developments, require an increase of their readability. The solution in this regard may be the process of coloring images. The authors of this article conducted studies aimed to determine to what extent the tested coloring algorithms enable an automatic detection of land cover elements on historical aerial photographs and provide color close to the natural. Used in the studies were archival black-and-white aerial photographs of the western part of Warsaw district made available by the Main Centre of Geodetic and Cartographic Documentation, the selection of which was associated with the presence in this area of various elements of land cover, such as water, forests, crops, exposed soils and also anthropogenic objects. In the analysis of different algorithms are included: format and size of the image, degree of automation of the process, degree of compliance of the result and processing time. The accuracy of the coloring process was different for each class of objects mapped on the photograph. The main limitation of the coloring process created shadows of anthropogenic objects, where grey degree values were corresponding to forests.","PeriodicalId":30976,"journal":{"name":"Archiwum Fotogrametrii Kartografii i Teledetekcji","volume":"28 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archiwum Fotogrametrii Kartografii i Teledetekcji","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14681/AFKIT.2016.001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Available on the commercial market are a number of algorithms that enable assigning to pixels of a monochrome digital image suitable colors according to a strictly defined schedule. These algorithms have been recently used by professional film studios involved in the coloring of archival productions. This article provides an overview on the functionality of coloring algorithms in terms of their use to improve the interpretation quality of historical, black-and-white aerial photographs. The analysis covered intuitive (Recolored) programs, as well as more advanced (Adobe After Effect, DaVinci Resolve) programs. The use of their full functionality was limited by the too large information capacity of aerial photograph images. Black-and-white historical aerial photographs, which interpretation quality in many cases does not meet the criteria posed on photogrammetric developments, require an increase of their readability. The solution in this regard may be the process of coloring images. The authors of this article conducted studies aimed to determine to what extent the tested coloring algorithms enable an automatic detection of land cover elements on historical aerial photographs and provide color close to the natural. Used in the studies were archival black-and-white aerial photographs of the western part of Warsaw district made available by the Main Centre of Geodetic and Cartographic Documentation, the selection of which was associated with the presence in this area of various elements of land cover, such as water, forests, crops, exposed soils and also anthropogenic objects. In the analysis of different algorithms are included: format and size of the image, degree of automation of the process, degree of compliance of the result and processing time. The accuracy of the coloring process was different for each class of objects mapped on the photograph. The main limitation of the coloring process created shadows of anthropogenic objects, where grey degree values were corresponding to forests.
从增加航空照片档案辐射值的角度评价图像着色算法的功能
在商业市场上,有许多算法可以根据严格定义的时间表为单色数字图像的像素分配合适的颜色。这些算法最近被专业电影制片厂用于档案作品的着色。本文概述了着色算法在提高历史黑白航空照片解译质量方面的功能。分析涵盖了直观的(重新着色)程序,以及更高级的(Adobe After Effect, DaVinci Resolve)程序。航空摄影图像的信息量太大,限制了其全部功能的使用。黑白历史航空照片的判读质量在许多情况下不符合摄影测量学发展所规定的标准,因此需要提高其可读性。在这方面的解决办法可能是图像的着色过程。本文的作者进行了研究,旨在确定所测试的着色算法在多大程度上能够自动检测历史航空照片上的土地覆盖元素,并提供接近自然的颜色。研究中使用的是主要大地测量和制图文件中心提供的华沙地区西部的档案黑白航空照片,这些照片的选择与该地区存在的各种土地覆盖要素有关,例如水、森林、作物、暴露的土壤和人为物体。在分析中不同算法主要包括:图像的格式和大小、处理的自动化程度、结果的符合性程度和处理时间。上色过程的准确性对于每一类映射到照片上的物体都是不同的。着色过程的主要限制创造了人为物体的阴影,其中灰度值对应于森林。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
审稿时长
12 weeks
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信