Research and Application of Improving Methods of Image Transmission Quality in Power Field

Z. Limin, Wang Xiaoyan, Chai Pei, Li Rui, Liu Feng
{"title":"Research and Application of Improving Methods of Image Transmission Quality in Power Field","authors":"Z. Limin, Wang Xiaoyan, Chai Pei, Li Rui, Liu Feng","doi":"10.1109/ICMCCE51767.2020.00530","DOIUrl":null,"url":null,"abstract":"With the development of energy Internet technology, the types and number of terminals in substations have shown an explosive growth trend, which puts forward higher requirements for image compression and image processing capabilities. Therefore, this paper proposes a method to improve the quality of power image transmission. Firstly, the eigenvalues and special vectors of the image are obtained, and then the wavelet transform method is used to encode the image, and finally the compressed image after decoding is obtained. Based on a typical field case, the comparison of experimental data under various algorithms is carried out. The results show that the improved method proposed in this paper has better image compression quality and higher peak signal-to-noise ratio, and improves the transmission quality of substation field monitoring images. It provides new technical ideas for the development of big data processing of electric power images.","PeriodicalId":6712,"journal":{"name":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","volume":"48 1","pages":"2457-2460"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMCCE51767.2020.00530","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

With the development of energy Internet technology, the types and number of terminals in substations have shown an explosive growth trend, which puts forward higher requirements for image compression and image processing capabilities. Therefore, this paper proposes a method to improve the quality of power image transmission. Firstly, the eigenvalues and special vectors of the image are obtained, and then the wavelet transform method is used to encode the image, and finally the compressed image after decoding is obtained. Based on a typical field case, the comparison of experimental data under various algorithms is carried out. The results show that the improved method proposed in this paper has better image compression quality and higher peak signal-to-noise ratio, and improves the transmission quality of substation field monitoring images. It provides new technical ideas for the development of big data processing of electric power images.
电力领域图像传输质量改进方法的研究与应用
随着能源互联网技术的发展,变电站终端的类型和数量呈爆炸式增长趋势,这对图像压缩和图像处理能力提出了更高的要求。为此,本文提出了一种提高电力图像传输质量的方法。首先获取图像的特征值和特殊向量,然后利用小波变换方法对图像进行编码,最后得到解码后的压缩图像。结合一个典型的现场实例,对不同算法下的实验数据进行了比较。结果表明,本文提出的改进方法具有更好的图像压缩质量和更高的峰值信噪比,提高了变电站现场监控图像的传输质量。为电力图像大数据处理的发展提供了新的技术思路。
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
×
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