Video Data Compression Coder Based on the Method of Structural Digital Image Representation

Kseniya Kurin, O. Yudin, O. Suprun, O. Provotar, Victor Kotetunov, D. Barannik
{"title":"Video Data Compression Coder Based on the Method of Structural Digital Image Representation","authors":"Kseniya Kurin, O. Yudin, O. Suprun, O. Provotar, Victor Kotetunov, D. Barannik","doi":"10.1109/ATIT58178.2022.10024241","DOIUrl":null,"url":null,"abstract":"The usage of digital images in every aspect of computer and telephone application requires new means of pictures storage, compression and restoration. Such a method is presented in this article, based on discrete wavelet transformation and usage of binary sequences. During investigation, expedience of the use of structural code in the tasks of compression of data was proved. The structural signs of binary sequences of image presentations and limitations that on are laid on them are defined. The rule of determination of amount of binary sequences which form structural groups is described. Also, the rule of calculation of sequence number for binary sequence based on the amount of bit changes is described. The estimation of the expected degree of compression is done for the sequences of different length. The approach is proven to be more adjustable and preferable compared to classic algorithms of image comparison and storage.","PeriodicalId":264053,"journal":{"name":"2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATIT58178.2022.10024241","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

The usage of digital images in every aspect of computer and telephone application requires new means of pictures storage, compression and restoration. Such a method is presented in this article, based on discrete wavelet transformation and usage of binary sequences. During investigation, expedience of the use of structural code in the tasks of compression of data was proved. The structural signs of binary sequences of image presentations and limitations that on are laid on them are defined. The rule of determination of amount of binary sequences which form structural groups is described. Also, the rule of calculation of sequence number for binary sequence based on the amount of bit changes is described. The estimation of the expected degree of compression is done for the sequences of different length. The approach is proven to be more adjustable and preferable compared to classic algorithms of image comparison and storage.
基于结构化数字图像表示方法的视频数据压缩编码器
数字图像在计算机和电话应用的各个方面的使用需要新的图像存储、压缩和恢复手段。本文在离散小波变换的基础上,利用二值序列,提出了一种基于离散小波变换的小波变换方法。在研究过程中,证明了在数据压缩任务中使用结构代码的方便性。定义了图像表示的二值序列的结构符号及其所受的限制。描述了构成结构群的二元序列数量的确定规则。此外,还描述了基于位变化量的二进制序列序号的计算规则。对不同长度的序列进行了期望压缩度的估计。与传统的图像比较和存储算法相比,该方法具有更强的可调性和优越性。
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:604180095
Book学术官方微信
小红书