Fourier Image Watermarking: Print-Cam Application

Author:

Gourrame KhadijaORCID,Ros FredericORCID,Douzi HassanORCID,Harba Rachid,Riad RabiaORCID

Abstract

Digital image watermarking is an active research field since it provides protection, security, and authenticity of data. This paper presents development and implementation of a blind and robust watermarking application for ID images under a print-cam system. In the present case, the images are watermarked and printed on ID cards and then detected freehandedly with a smartphone camera. In order to design an efficient and robust image watermarking application, the attacks produced in print-cam processes, such as geometric distortions, must be resolved. Accordingly, the proposed watermarking approach is applied in the Fourier domain. Then, a frame-based projective rectification is integrated to deal with geometric distortions by using detection of Hough lines. Moreover, better robustness against print-cam watermarking attacks was achieved compared with the existing methods, and an Android application was designed and implemented based on the proposed scheme.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference34 articles.

1. Digital Watermarking and Steganography;Cox,2007

2. Christian Fuchs: Social Media. A Critical Introduction;Muhle,2014

3. A zero-bit Fourier image watermarking for print-cam process

4. Watermark robustness in the print-cam process;Pramila,2008

5. Analysis of Digital Image Watermarking Techniques through Hybrid Methods

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cam-Unet: Print-Cam Image Correction for Zero-Bit Fourier Image Watermarking;Sensors;2024-05-25

2. Print-Cam Image Distortion Correction for Robust Image Watermarking;2024 26th International Conference on Digital Signal Processing and its Applications (DSPA);2024-03-27

3. Robust digital image watermarking using cuckoo search optimization and probabilistic neural network;Multimedia Tools and Applications;2023-11-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3