A Feature-Based Fragile Watermarking of Color Image for Secure E-Government Restoration

L. Rakhmawati, W. Wirawan, S. Suwadi, T. Suryani, E. Endroyono
{"title":"A Feature-Based Fragile Watermarking of Color Image for Secure E-Government Restoration","authors":"L. Rakhmawati, W. Wirawan, S. Suwadi, T. Suryani, E. Endroyono","doi":"10.11591/EECSI.V5.1705","DOIUrl":null,"url":null,"abstract":"this research developed a method using fragile watermarking technique for color images to achieve secure e-government tamper detection with recovery capability. Before performing the watermark insertion process, the RGB image is converted first into YCbCr image. The watermark component is selected from the image feature that approximates the original image, in which the chrominance value features as a watermark component. For a better detection process, 3-tuple watermark, check bits, parity bits, and recovery bits are selected. The average block in each 2 x 2 pixels is selected as 8 restoration bits of each component, the embedding process work on the pixels by modifying the pixels value of three Least Significant Bit (LSB) . The secret key for secure tamper detection and recovery, transmitted along with the watermarked image, and the algorithm mixture is used to extract information at the receiving end. The results show remarkably effective to restore tampered image.","PeriodicalId":20498,"journal":{"name":"Proceeding of the Electrical Engineering Computer Science and Informatics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceeding of the Electrical Engineering Computer Science and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11591/EECSI.V5.1705","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

this research developed a method using fragile watermarking technique for color images to achieve secure e-government tamper detection with recovery capability. Before performing the watermark insertion process, the RGB image is converted first into YCbCr image. The watermark component is selected from the image feature that approximates the original image, in which the chrominance value features as a watermark component. For a better detection process, 3-tuple watermark, check bits, parity bits, and recovery bits are selected. The average block in each 2 x 2 pixels is selected as 8 restoration bits of each component, the embedding process work on the pixels by modifying the pixels value of three Least Significant Bit (LSB) . The secret key for secure tamper detection and recovery, transmitted along with the watermarked image, and the algorithm mixture is used to extract information at the receiving end. The results show remarkably effective to restore tampered image.
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
一种用于电子政务安全复原的彩色图像脆弱特征水印
本文提出了一种利用彩色图像脆弱水印技术实现电子政务篡改检测和恢复的方法。在进行水印插入之前,首先将RGB图像转换为YCbCr图像。水印分量是从接近原始图像的图像特征中选取的,其中色度值作为水印分量。为了更好的检测过程,选择了三元组水印、校验位、奇偶校验位和恢复位。选取每2 × 2像素的平均块作为每个分量的8个恢复位,嵌入过程通过修改三个最小有效位(Least Significant Bit, LSB)的像素值对像素进行处理。将用于安全篡改检测和恢复的密钥与水印图像一起传输,并使用混合算法在接收端提取信息。结果表明,该算法对篡改后的图像恢复效果显著。
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
Estimated Profits of Rengginang Lorjuk Madura by Used Comparison of Holt-Winter and Moving Average Water Contents and Monoglycerides as Development Role of Biodiesel Standard in Indonesia for B30 Implementation Image Restoration Effect on DCT High Frequency Removal and Wiener Algorithm for Detecting Facial Key Points RAIKU: E-Commerce App Using Laravel Probabilistic Programming with Piecewise Objective Function for Solving Supplier Selection Problem with Price Discount and Probabilistic Demand
×
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