Reversible Color Image Watermarking Algorithm using Reverse Contrast Mapping

Shivdeep, Sudip Ghosh, T. Nag, S. Maity, H. Rahaman
{"title":"Reversible Color Image Watermarking Algorithm using Reverse Contrast Mapping","authors":"Shivdeep, Sudip Ghosh, T. Nag, S. Maity, H. Rahaman","doi":"10.1109/ICCE50343.2020.9290684","DOIUrl":null,"url":null,"abstract":"A reversible digital color image (RGB) watermarking algorithm based upon reversible contrast mapping (RCM) is being discussed in this paper. RCM is a computationally efficient spatial technique that manipulates the pairs of pixels with easy integer mathematics. Unlike other methods such as difference expansion, histogram modification, prediction error expansion along with adaptive pairing etc. and their various modified versions which considers context of a pixel. Involving more pixels may lead to much computational complexity and time. This method doesn’t need a location map to be stored and saves space. At the embedding stage, the color image is divided into three color intensity planes and watermark information can be embedded into each of the three planes. At the decoding stage, obtain the watermark by collecting bits from three (RGB) components. Net amount of data that can be embedded into color image is increased as compared to grayscale images of same size. Hence proposed algorithm gives good embedding capacity(EC). The experimental results show the values of embedding capacity and two quality metrics PSNR & SSIM for various standard test images. The proposed scheme does not need any location map to embed and hence no need of data compression.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE50343.2020.9290684","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

A reversible digital color image (RGB) watermarking algorithm based upon reversible contrast mapping (RCM) is being discussed in this paper. RCM is a computationally efficient spatial technique that manipulates the pairs of pixels with easy integer mathematics. Unlike other methods such as difference expansion, histogram modification, prediction error expansion along with adaptive pairing etc. and their various modified versions which considers context of a pixel. Involving more pixels may lead to much computational complexity and time. This method doesn’t need a location map to be stored and saves space. At the embedding stage, the color image is divided into three color intensity planes and watermark information can be embedded into each of the three planes. At the decoding stage, obtain the watermark by collecting bits from three (RGB) components. Net amount of data that can be embedded into color image is increased as compared to grayscale images of same size. Hence proposed algorithm gives good embedding capacity(EC). The experimental results show the values of embedding capacity and two quality metrics PSNR & SSIM for various standard test images. The proposed scheme does not need any location map to embed and hence no need of data compression.
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
基于反向对比度映射的可逆彩色图像水印算法
提出了一种基于可逆对比度映射的可逆数字彩色图像(RGB)水印算法。RCM是一种计算效率高的空间技术,它使用简单的整数数学来处理像素对。不同于其他方法,如差分扩展、直方图修改、预测误差扩展以及自适应配对等,以及它们的各种修改版本,它们考虑了像素的上下文。涉及更多的像素可能会导致更多的计算复杂度和时间。这种方法不需要存储位置地图,节省空间。在嵌入阶段,将彩色图像划分为三个颜色强度平面,水印信息可以分别嵌入到三个颜色强度平面中。在解码阶段,通过收集三个(RGB)分量的比特来获得水印。与相同大小的灰度图像相比,可以嵌入彩色图像的净数据量增加。因此,该算法具有良好的嵌入容量。实验结果显示了不同标准测试图像的嵌入容量和两个质量指标PSNR和SSIM的值。该方案不需要嵌入任何位置地图,因此不需要数据压缩。
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
Realization and Implementation of Optical Reversible Universal Quadruple Logic Gate (ORUQLG) Advanced Design of Transmitting Antenna System for Polarization Modulation Design and Development of Solar Power Hybrid Electric Vehicles Charging Station Performance Analysis of Multilingual Encryption for Enhancing Data Security using Cellular Automata based State Transition Mapping: A Linear Approach Online Handwritten Bangla and Devanagari Character Recognition by using CNN: A Deep Learning Concept
×
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