{"title":"Feature Preserving Image Compression: A Survey","authors":"O. Villegas, R. P. Elías, V. Sánchez","doi":"10.1109/CERMA.2006.51","DOIUrl":null,"url":null,"abstract":"With the increase of the use of Internet and wireless mobile devices, the digital information needs to be send and received efficiently in low bit rates in order to exploit the bandwidth. At low bit rates it is almost impossible to generate errors or artifacts in images. In order to solve that problem, researchers are trying to design and build lossy image coders which can preserve important features of images. With this approach the features of an image that are very important to perception and recognition are preserved even at low bit rates. In this paper a revision of some works that propose feature preserving image compression (FPIC) algorithms are presented. Finally a new methodology to obtain FPIC is presented","PeriodicalId":179210,"journal":{"name":"Electronics, Robotics and Automotive Mechanics Conference (CERMA'06)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronics, Robotics and Automotive Mechanics Conference (CERMA'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CERMA.2006.51","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
With the increase of the use of Internet and wireless mobile devices, the digital information needs to be send and received efficiently in low bit rates in order to exploit the bandwidth. At low bit rates it is almost impossible to generate errors or artifacts in images. In order to solve that problem, researchers are trying to design and build lossy image coders which can preserve important features of images. With this approach the features of an image that are very important to perception and recognition are preserved even at low bit rates. In this paper a revision of some works that propose feature preserving image compression (FPIC) algorithms are presented. Finally a new methodology to obtain FPIC is presented