用图像处理技术增强历史文献

Neetu Mittal, Arjun Sehgal, S. Khatri
{"title":"用图像处理技术增强历史文献","authors":"Neetu Mittal, Arjun Sehgal, S. Khatri","doi":"10.1109/ICRITO.2017.8342504","DOIUrl":null,"url":null,"abstract":"Historical documents are valuable source of information but commonly suffer from degradation problem. The task is to keep these documents alive to preserve the important information and the heritage of a country. The main aim of this paper is to transform them into digital form and enhance the quality and visualization of the historical images. Image processing techniques such as noise filtering, histogram equalization and power law transformation have been used to result in better representation of images. To evaluate the quality of resultant image, two performance assessment parameters; entropy and standard deviation, have been used. Matlab results indicate the efficacy of proposed technique to remove the background noise and thereby improving the quality of historical degraded images. The proposed method is much easier and may help to archive the documents in digital images with improved quality.","PeriodicalId":357118,"journal":{"name":"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Enhancement of historical documents by image processing techniques\",\"authors\":\"Neetu Mittal, Arjun Sehgal, S. Khatri\",\"doi\":\"10.1109/ICRITO.2017.8342504\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Historical documents are valuable source of information but commonly suffer from degradation problem. The task is to keep these documents alive to preserve the important information and the heritage of a country. The main aim of this paper is to transform them into digital form and enhance the quality and visualization of the historical images. Image processing techniques such as noise filtering, histogram equalization and power law transformation have been used to result in better representation of images. To evaluate the quality of resultant image, two performance assessment parameters; entropy and standard deviation, have been used. Matlab results indicate the efficacy of proposed technique to remove the background noise and thereby improving the quality of historical degraded images. The proposed method is much easier and may help to archive the documents in digital images with improved quality.\",\"PeriodicalId\":357118,\"journal\":{\"name\":\"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRITO.2017.8342504\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRITO.2017.8342504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

历史文献是宝贵的信息来源,但普遍存在退化问题。我们的任务是保存这些文件,以保存一个国家的重要信息和遗产。本文的主要目的是将其转化为数字形式,提高历史图像的质量和可视化程度。图像处理技术,如噪声滤波,直方图均衡化和幂律变换已被用于更好地表示图像。为评价合成图像的质量,采用两个性能评价参数;熵和标准差,已经被使用。Matlab实验结果表明,该方法能够有效地去除背景噪声,从而提高历史退化图像的质量。该方法简单易行,有助于提高数字图像文档的存档质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancement of historical documents by image processing techniques
Historical documents are valuable source of information but commonly suffer from degradation problem. The task is to keep these documents alive to preserve the important information and the heritage of a country. The main aim of this paper is to transform them into digital form and enhance the quality and visualization of the historical images. Image processing techniques such as noise filtering, histogram equalization and power law transformation have been used to result in better representation of images. To evaluate the quality of resultant image, two performance assessment parameters; entropy and standard deviation, have been used. Matlab results indicate the efficacy of proposed technique to remove the background noise and thereby improving the quality of historical degraded images. The proposed method is much easier and may help to archive the documents in digital images with improved quality.
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
×
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