Research on Quality Evaluation Methods of Watermarked Printing Image Based on Image Dissimilarity

Xiao Yingzhe, Wang Juanjuan
{"title":"Research on Quality Evaluation Methods of Watermarked Printing Image Based on Image Dissimilarity","authors":"Xiao Yingzhe, Wang Juanjuan","doi":"10.1109/GCIS.2013.30","DOIUrl":null,"url":null,"abstract":"The watermarked printing image is a kind of multi-source heterogeneous image, which could be divided into the watermarking embedded process, the printing stage and the authentication phase. Image quality evaluation plays various roles in different image coding stages. In three stages, its functions are in turn providing direct modify data to optimize watermarking algorithms, evaluating robustness of the attacked watermark, and judging the veracity of product packaging, respectively, The idea of image dissimilarity expounds the presentation form, the characteristic direction and the generated reasons of differences before and after images distortion. It aims at using one-dimensional, two-dimensional or multi-dimensional spatial feature to express mathematically the macroscopic or microscopic transformation of the attacked image, At present, the classification method is uncommon that image quality evaluation is divided into image dissimilarity and image similarity. The image quality evaluation methods based on image similarity is numerous, while a few methods based on image dissimilarity are only presented from the two metrics of pixels gray value and singular values. But the latter could just makes up for its some shortages. Then according to the ideal of image similarity, it is feasible to in-depth research and establish the unified quality evaluation standard of watermarked printing image base image dissimilarity.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Fourth Global Congress on Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCIS.2013.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The watermarked printing image is a kind of multi-source heterogeneous image, which could be divided into the watermarking embedded process, the printing stage and the authentication phase. Image quality evaluation plays various roles in different image coding stages. In three stages, its functions are in turn providing direct modify data to optimize watermarking algorithms, evaluating robustness of the attacked watermark, and judging the veracity of product packaging, respectively, The idea of image dissimilarity expounds the presentation form, the characteristic direction and the generated reasons of differences before and after images distortion. It aims at using one-dimensional, two-dimensional or multi-dimensional spatial feature to express mathematically the macroscopic or microscopic transformation of the attacked image, At present, the classification method is uncommon that image quality evaluation is divided into image dissimilarity and image similarity. The image quality evaluation methods based on image similarity is numerous, while a few methods based on image dissimilarity are only presented from the two metrics of pixels gray value and singular values. But the latter could just makes up for its some shortages. Then according to the ideal of image similarity, it is feasible to in-depth research and establish the unified quality evaluation standard of watermarked printing image base image dissimilarity.
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
基于图像不相似性的水印印刷图像质量评价方法研究
水印打印图像是一种多源异构图像,可分为水印嵌入过程、打印阶段和认证阶段。图像质量评价在图像编码的不同阶段起着不同的作用。其功能分为三个阶段,分别为优化水印算法提供直接修改数据、评价被攻击水印的鲁棒性、判断产品包装的准确性。图像差异性思想阐述了图像失真前后差异的表现形式、特征方向和产生原因。其目的是利用一维、二维或多维空间特征对被攻击图像的宏观或微观变化进行数学表达。目前,将图像质量评价分为图像不相似度和图像相似度的分类方法并不多见。基于图像相似度的图像质量评价方法很多,而基于图像不相似度的评价方法很少,仅从像素灰度值和奇异值两个度量指标出发。但后者恰好可以弥补它的一些不足。然后根据图像相似度的理想,深入研究并建立基于图像不相似度的水印印刷图像质量统一评价标准是可行的。
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
Using Bayesian Networks with Human Personality and Situation Information to Detect Emotion States from EEG Parameter Analysis of DDE-Based PID Controller Tuning Method Optimized Workforce Scheduling in Bus Transit Companies Reactions of Brain in English Reading Tests A Feature Representation Method of Social Graph for Malware Detection
×
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