Evaluation of histogram enhancement techniques used in conjunction with wavelet compression methods for improved signal processing of child trauma images

G. Anastassopoulos, I. Stephanakis, S. Gardikis
{"title":"Evaluation of histogram enhancement techniques used in conjunction with wavelet compression methods for improved signal processing of child trauma images","authors":"G. Anastassopoulos, I. Stephanakis, S. Gardikis","doi":"10.1109/ANZIIS.2001.974052","DOIUrl":null,"url":null,"abstract":"The performance of wavelet compression techniques, in conjunction with enhancement methods like histogram normalization, is evaluated in this paper for a child trauma emergency case. The compression techniques are applied to original CT digitized images as well as to enhanced images. The processing of the images consists of alternative application of enhancement and compression techniques. The criteria used for rating the results are both subjective and objective. The evaluation based on objective criteria is comparable to the evaluation based on subjective criteria, as far as the original images are concerned. Despite the fact that the relative Mean-Square-Error (MSE) of the enhanced images as compared to the original images is slightly worse for the same compression ratio, the rating according to subjective criteria indicates better results for the enhanced images. The expert observers view more diagnostic information in the enhanced images rather than in the original ones. Furthermore, enhancing original images after compression yields higher MSEs than vice versa. Other operators in medical image processing are to be investigated in the future in order to determine the optimum operator, which retains the diagnostic information and, at the same time, assures the best compression using wavelets.","PeriodicalId":383878,"journal":{"name":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Seventh Australian and New Zealand Intelligent Information Systems Conference, 2001","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANZIIS.2001.974052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

The performance of wavelet compression techniques, in conjunction with enhancement methods like histogram normalization, is evaluated in this paper for a child trauma emergency case. The compression techniques are applied to original CT digitized images as well as to enhanced images. The processing of the images consists of alternative application of enhancement and compression techniques. The criteria used for rating the results are both subjective and objective. The evaluation based on objective criteria is comparable to the evaluation based on subjective criteria, as far as the original images are concerned. Despite the fact that the relative Mean-Square-Error (MSE) of the enhanced images as compared to the original images is slightly worse for the same compression ratio, the rating according to subjective criteria indicates better results for the enhanced images. The expert observers view more diagnostic information in the enhanced images rather than in the original ones. Furthermore, enhancing original images after compression yields higher MSEs than vice versa. Other operators in medical image processing are to be investigated in the future in order to determine the optimum operator, which retains the diagnostic information and, at the same time, assures the best compression using wavelets.
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
评价直方图增强技术与小波压缩方法联合用于改善儿童创伤图像的信号处理
小波压缩技术的性能,结合增强方法,如直方图归一化,在本文中评估儿童创伤急诊病例。将压缩技术应用于原始CT数字化图像和增强图像。图像的处理包括增强和压缩技术的交替应用。评价结果的标准既有主观的,也有客观的。就原始图像而言,基于客观标准的评价与基于主观标准的评价具有可比性。尽管在相同压缩比下,增强图像的相对均方误差(MSE)比原始图像略差,但根据主观标准进行的评分表明增强图像的效果更好。专家观察者在增强图像中比在原始图像中看到更多的诊断信息。此外,压缩后增强原始图像的mse要高于压缩后增强原始图像的mse。为了确定最佳的算子,在保留诊断信息的同时,确保使用小波进行最佳压缩,医学图像处理中的其他算子将在未来进行研究。
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
Mammogram JPEG quantisation matrix optimisation for PACS Static image simulation of electronic visual prostheses Ultrasound mediated transfection of HT29 colorectal cancer cells in vitro: preliminary results Gait symmetry quantification during treadmill walking Segmentation of clinical structures for radiotherapy treatment planning: a comparison of two morphological approaches
×
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