A subjective image quality metric for bit-inversion-based watermarking

T. Kimoto, Fumihiko Kosaka
{"title":"A subjective image quality metric for bit-inversion-based watermarking","authors":"T. Kimoto, Fumihiko Kosaka","doi":"10.1109/PCS.2010.5702535","DOIUrl":null,"url":null,"abstract":"An image watermarking scheme using the previously proposed bit embedding method is developed. To achieve a desired subjective visual quality in the watermarked image, the embedding parameter that is related to both the image quality and the embedding capacity is determined by using a perceptual model. First, based on the properties of the bit embedding method, the perceptual model of two kinds of objective quality measures is assumed. Then, the measurements of human subjective image quality are analyzed from the viewpoint of the correlation with these two measures. Thereby, the estimating function that can yield an estimate of the subjective quality from two objective measurements is determined. According to the estimating function, the bit embedding method performs in each image region so as to achieve a desired subjective image quality while increasing the capacity of embedding watermark bits. The simulation results demonstrate that the estimating function values have a linear correlation with human subjective evaluations, and the embedding parameters can be adaptively changed in every image region by using the function.","PeriodicalId":255142,"journal":{"name":"28th Picture Coding Symposium","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"28th Picture Coding Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PCS.2010.5702535","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

An image watermarking scheme using the previously proposed bit embedding method is developed. To achieve a desired subjective visual quality in the watermarked image, the embedding parameter that is related to both the image quality and the embedding capacity is determined by using a perceptual model. First, based on the properties of the bit embedding method, the perceptual model of two kinds of objective quality measures is assumed. Then, the measurements of human subjective image quality are analyzed from the viewpoint of the correlation with these two measures. Thereby, the estimating function that can yield an estimate of the subjective quality from two objective measurements is determined. According to the estimating function, the bit embedding method performs in each image region so as to achieve a desired subjective image quality while increasing the capacity of embedding watermark bits. The simulation results demonstrate that the estimating function values have a linear correlation with human subjective evaluations, and the embedding parameters can be adaptively changed in every image region by using the function.
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
基于位反转水印的主观图像质量度量
提出了一种基于比特嵌入法的图像水印方案。为了在水印图像中获得理想的主观视觉质量,使用感知模型确定与图像质量和嵌入容量相关的嵌入参数。首先,基于位嵌入方法的特性,假设了两种客观质量度量的感知模型;然后,从两者的相关性角度分析了人类主观图像质量的测量方法。因此,确定了可以从两个客观测量中产生主观质量估计的估计函数。根据估计函数,在每个图像区域内进行位嵌入,在增加水印位嵌入容量的同时获得理想的主观图像质量。仿真结果表明,估计函数值与人的主观评价呈线性相关,并且利用该函数可以自适应地改变图像各区域的嵌入参数。
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
Focus on visual rendering quality through content-based depth map coding Image quality assessment based on local orientation distributions Intra picture coding with planar representations Real-time Free Viewpoint Television for embedded systems A subjective image quality metric for bit-inversion-based watermarking
×
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