Annapurna Pradhan, Nibedita Pati, Suvendu Rup, Avipsa S. Panda
{"title":"A Modified Framework for Image Compression Using Burrows-Wheeler Transform","authors":"Annapurna Pradhan, Nibedita Pati, Suvendu Rup, Avipsa S. Panda","doi":"10.1109/CINE.2016.33","DOIUrl":null,"url":null,"abstract":"The paper presents a modified framework for image compression using Burrow Wheeler Transform (BWT). The BWT is widely used in text compression but very few attempts have been made to BWT in image compression. Just like text compression it will not directly apply to an image. After performing some recorder arrangement it has been applied successively in an image compression framework. In the proposed approach it is applied before entropy coding and it has observed that a significant amount of improvement in terms of compression efficiency is achieved as compared to the JPEG and wavelet based JPEG2000 approach. The proposed scheme is simulated along with other standard image coding scheme. Performance comparisons have been made with respect to PSNR in (db), rate distortion performance in terms of bit rate (bpp) vs. PSNR and compression ratio. In general, it is obtained that the proposed scheme has a superior performance as compared to its competent schemes.","PeriodicalId":142174,"journal":{"name":"2016 2nd International Conference on Computational Intelligence and Networks (CINE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference on Computational Intelligence and Networks (CINE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINE.2016.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The paper presents a modified framework for image compression using Burrow Wheeler Transform (BWT). The BWT is widely used in text compression but very few attempts have been made to BWT in image compression. Just like text compression it will not directly apply to an image. After performing some recorder arrangement it has been applied successively in an image compression framework. In the proposed approach it is applied before entropy coding and it has observed that a significant amount of improvement in terms of compression efficiency is achieved as compared to the JPEG and wavelet based JPEG2000 approach. The proposed scheme is simulated along with other standard image coding scheme. Performance comparisons have been made with respect to PSNR in (db), rate distortion performance in terms of bit rate (bpp) vs. PSNR and compression ratio. In general, it is obtained that the proposed scheme has a superior performance as compared to its competent schemes.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
