HABE: Huffman Algorithm and Bit Extraction Applied to Image Equalization

L. Flores-Pulido, M. Olivares-Gonzalez, Mauricio Osorio, O. Starostenko
{"title":"HABE: Huffman Algorithm and Bit Extraction Applied to Image Equalization","authors":"L. Flores-Pulido, M. Olivares-Gonzalez, Mauricio Osorio, O. Starostenko","doi":"10.1109/CERMA.2010.42","DOIUrl":null,"url":null,"abstract":"Computer vision imply several morphological and mathematical process. Image compression requires methods which involves algorithms and image processing techniques. AHBE system (Algorithm of Huffman combined with Bit Extraction method) provides a novel method to image compression when high quantity of light is present. Preprocessing images is useful in robotics applications to avoid noised data providing relevant information and normalized vector of data. Hoffman algorithm is a greedy technique that is combined with Bit Extraction technique that improves bright and contrast for images obtaining an image equalization in a novel way compressing binary pixels code.","PeriodicalId":119218,"journal":{"name":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","volume":"109 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Electronics, Robotics and Automotive Mechanics Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CERMA.2010.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Computer vision imply several morphological and mathematical process. Image compression requires methods which involves algorithms and image processing techniques. AHBE system (Algorithm of Huffman combined with Bit Extraction method) provides a novel method to image compression when high quantity of light is present. Preprocessing images is useful in robotics applications to avoid noised data providing relevant information and normalized vector of data. Hoffman algorithm is a greedy technique that is combined with Bit Extraction technique that improves bright and contrast for images obtaining an image equalization in a novel way compressing binary pixels code.
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
哈夫曼算法和位提取在图像均衡中的应用
计算机视觉包含几个形态学和数学过程。图像压缩需要涉及算法和图像处理技术的方法。AHBE系统(哈夫曼算法与比特提取法相结合)为光强条件下的图像压缩提供了一种新的方法。图像预处理在机器人应用中非常有用,可以避免噪声数据提供相关信息和数据的归一化向量。Hoffman算法是一种贪婪的技术,它与比特提取技术相结合,提高了图像的亮度和对比度,以一种新颖的方式压缩二进制像素码,获得图像均衡。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
OntoDeviceTrust: A Representation Model of Trust between the Users of Mobile Devices and the Producers of Applications Based on Ontologies Defect Detection in Aluminium with an Eddy Currents Sensor Advise Weaving in Énfasis Kinematic and Dynamic Modeling of the PHANToM Premium 1.0 Haptic Device: Experimental Validation Dynamic Visual Servoing of Robot Manipulators Based on Passivity
×
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