Modification of Objective Full Reference Metrics for Image Quality Measurement and Evaluation

R. Deliyski
{"title":"Modification of Objective Full Reference Metrics for Image Quality Measurement and Evaluation","authors":"R. Deliyski","doi":"10.1109/MMA52675.2021.9610944","DOIUrl":null,"url":null,"abstract":"This paper presents a modification of objective PSNR metric for image quality measurement and evaluation. In the modified metric the MSE is substituted by 3 different distance measures: MAE, Euclidean distance and Canberra distance. All metrics were tested with 12 different 3-channels, 8-bits images. Every test image was distorted by 10 different values of dispersion of white Gaussian noise with zero mean. The experiments show that the dispersion of the PSNR with Euclidean distance has the lowest standard deviation and thus improved the original PSNR. It is also suggested that due to normality of the data and their deviation, the results has to be accepted with some standard uncertainty.","PeriodicalId":287017,"journal":{"name":"2021 XXXI International Scientific Symposium Metrology and Metrology Assurance (MMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 XXXI International Scientific Symposium Metrology and Metrology Assurance (MMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMA52675.2021.9610944","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

This paper presents a modification of objective PSNR metric for image quality measurement and evaluation. In the modified metric the MSE is substituted by 3 different distance measures: MAE, Euclidean distance and Canberra distance. All metrics were tested with 12 different 3-channels, 8-bits images. Every test image was distorted by 10 different values of dispersion of white Gaussian noise with zero mean. The experiments show that the dispersion of the PSNR with Euclidean distance has the lowest standard deviation and thus improved the original PSNR. It is also suggested that due to normality of the data and their deviation, the results has to be accepted with some standard uncertainty.
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
图像质量测量与评价中客观全参考度量的改进
本文提出了一种改进的客观PSNR度量,用于图像质量的测量和评价。在修正度量中,MSE被3个不同的距离度量所取代:MAE、欧几里得距离和堪培拉距离。所有参数都是用12个不同的3通道8位图像进行测试的。每个测试图像被10个不同的平均为零的高斯白噪声色散值所扭曲。实验表明,随着欧氏距离的增加,PSNR的色散具有最小的标准差,从而提高了原PSNR。由于数据的正态性及其偏差,结果必须具有一定的标准不确定度。
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
Ensemble Approach Based on Bagging and Boosting for Identification the Computer System State Analysis and evaluation of data available in a medical laboratory at estimating measurement uncertainty Measurement with intelligent measuring system of PCB deformation when separating modules from a panel Criterion Assessment of the Probability of Deviation of Objects from the Normal State Application of Sliding DFT Filtration to Improve Frequency Measurement Accuracy of Zero Crossing Technique
×
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