Visual fidelity of reconstructed radiographic images using wavelet transform coding and JPEG

R. Muyshondt, S. Mitra
{"title":"Visual fidelity of reconstructed radiographic images using wavelet transform coding and JPEG","authors":"R. Muyshondt, S. Mitra","doi":"10.1109/CBMS.1995.465428","DOIUrl":null,"url":null,"abstract":"The past few years have seen a rapid development in the areas of image compression techniques. This increase is mainly attributed to the current need for efficient storage and fast transmission of data among individuals using the information superhighway. A particular place of interest is in the area of telemedicine, where rapid transmission and effective storage leads to price reduction in medical costs. Thus, in order to achieve maximal storage and transmission parameters, the different compression algorithms should be compared in order to find an optimal technique for medical image compression. In this paper, we compare the performance of the wavelet transform to the current JPEG standard. We performed our comparisons on radiographic images and used criteria such as visual quality, peak signal-to-noise ratio and mean square error, in order to judge the compression capabilities of both techniques. Wavelet reconstructed images outperformed JPEG reconstruction in all the above criteria.<<ETX>>","PeriodicalId":254366,"journal":{"name":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBMS.1995.465428","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

The past few years have seen a rapid development in the areas of image compression techniques. This increase is mainly attributed to the current need for efficient storage and fast transmission of data among individuals using the information superhighway. A particular place of interest is in the area of telemedicine, where rapid transmission and effective storage leads to price reduction in medical costs. Thus, in order to achieve maximal storage and transmission parameters, the different compression algorithms should be compared in order to find an optimal technique for medical image compression. In this paper, we compare the performance of the wavelet transform to the current JPEG standard. We performed our comparisons on radiographic images and used criteria such as visual quality, peak signal-to-noise ratio and mean square error, in order to judge the compression capabilities of both techniques. Wavelet reconstructed images outperformed JPEG reconstruction in all the above criteria.<>
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
基于小波变换编码和JPEG的重建图像视觉保真度研究
在过去的几年里,图像压缩技术得到了迅速的发展。这一增长主要归因于当前使用信息高速公路的个人之间对有效存储和快速传输数据的需求。一个特别值得关注的领域是远程医疗领域,在该领域,快速传输和有效存储导致医疗费用的价格下降。因此,为了获得最大的存储和传输参数,需要对不同的压缩算法进行比较,以找到最优的医学图像压缩技术。在本文中,我们比较了小波变换与当前JPEG标准的性能。我们对放射图像进行了比较,并使用视觉质量、峰值信噪比和均方误差等标准来判断这两种技术的压缩能力。小波重构图像在上述各项指标上均优于JPEG重构
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
Electronic image management in radiology Enhancement for computed radiographic images A low-cost speech-synthesis system for translation of ASCII text to oral language as a vision impaired aid A study on the knowledge-based thinning algorithm that preserve the shape of the Korean character image Spectroscopic imaging of tissues using micro-endoscopy
×
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