CMedia压缩器:图形化比较通用压缩算法和自适应霍夫曼压缩算法的应用

S. Asare, P. Mbewe
{"title":"CMedia压缩器:图形化比较通用压缩算法和自适应霍夫曼压缩算法的应用","authors":"S. Asare, P. Mbewe","doi":"10.1109/ICONIC.2018.8601237","DOIUrl":null,"url":null,"abstract":"Much discussion and research has been done on compression algorithms but not many have gone to the extent of developing an application that can test and compare various compression algorithms with each other. In this paper, we present an application known as the CMedia Compressor, that tests and compares various compression algorithms. The application shows that adaptive Huffman and Arithmetic Coding tend to outperform the others such as the Run-length encoding (RLE), Huffman coding, Arithmetic coding (AC) and Lempel-Ziv-Welch (LZW) methods. Results obtained from this study are discussed and also presented graphically. The study’s results indicates that Arithmetic coding yields higher space-savings than Huffman coding and Adaptive Huffman coding.","PeriodicalId":277315,"journal":{"name":"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CMedia Compressor: An Application to Graphically Compare General Compression Algorithms and Adaptive Huffman Compression Algorithm\",\"authors\":\"S. Asare, P. Mbewe\",\"doi\":\"10.1109/ICONIC.2018.8601237\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Much discussion and research has been done on compression algorithms but not many have gone to the extent of developing an application that can test and compare various compression algorithms with each other. In this paper, we present an application known as the CMedia Compressor, that tests and compares various compression algorithms. The application shows that adaptive Huffman and Arithmetic Coding tend to outperform the others such as the Run-length encoding (RLE), Huffman coding, Arithmetic coding (AC) and Lempel-Ziv-Welch (LZW) methods. Results obtained from this study are discussed and also presented graphically. The study’s results indicates that Arithmetic coding yields higher space-savings than Huffman coding and Adaptive Huffman coding.\",\"PeriodicalId\":277315,\"journal\":{\"name\":\"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICONIC.2018.8601237\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICONIC.2018.8601237","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

人们对压缩算法进行了大量的讨论和研究,但很少有人开发出能够测试和比较各种压缩算法的应用程序。在本文中,我们提出了一个名为CMedia Compressor的应用程序,用于测试和比较各种压缩算法。应用表明,自适应霍夫曼编码和算术编码的性能明显优于其他编码方法,如行长编码(RLE)、霍夫曼编码、算术编码(AC)和Lempel-Ziv-Welch编码(LZW)。本文讨论了本研究的结果,并给出了图表。研究结果表明,算术编码比霍夫曼编码和自适应霍夫曼编码节省空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
CMedia Compressor: An Application to Graphically Compare General Compression Algorithms and Adaptive Huffman Compression Algorithm
Much discussion and research has been done on compression algorithms but not many have gone to the extent of developing an application that can test and compare various compression algorithms with each other. In this paper, we present an application known as the CMedia Compressor, that tests and compares various compression algorithms. The application shows that adaptive Huffman and Arithmetic Coding tend to outperform the others such as the Run-length encoding (RLE), Huffman coding, Arithmetic coding (AC) and Lempel-Ziv-Welch (LZW) methods. Results obtained from this study are discussed and also presented graphically. The study’s results indicates that Arithmetic coding yields higher space-savings than Huffman coding and Adaptive Huffman coding.
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
期刊最新文献
M-Government Adoption Framework for Least Developed Countries: The Case of Malawi Rule-based Control Strategy for a River-based Grid-connected Hydrokinetic System A Survey on Spectrum Handoff Algorithm for Continuous Connectivity Services and Applications Security in IoT Enabled Networks Cloud Robotic Architectures: Directions for Future Research from a Comparative Analysis
×
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