Screen-Cam Robust Image Watermarking with Feature-Based Synchronization

The screen-cam process, which is taking pictures of the content displayed on a screen with mobile phones or cameras, is one of the main ways that image information is leaked. However, traditional image watermarking methods are not resilient to screen-cam processes with severe distortion. In this paper, a screen-cam robust watermarking scheme with a feature-based synchronization method is proposed. First, the distortions caused by the screen-cam process are investigated. These distortions can be summarized into the five categories of linear distortion, gamma tweaking, geometric distortion, noise attack, and low-pass filtering attack. Then, a local square feature region (LSFR) construction method based on a Gaussian function, modified Harris–Laplace detector, and speeded-up robust feature (SURF) orientation descriptor is developed for watermark synchronization. Next, the message is repeatedly embedded in each selected LSFR by an improved embedding algorithm, which employs a non-rotating embedding method and a preprocessing method, to modulate the discrete Fourier transform (DFT) coefficients. In the process of watermark detection, we fully utilize the captured information and extract the message based on a local statistical feature. Finally, the experimental results are presented to illustrate the effectiveness of the method against common attacks and screen-cam attacks. Compared to the previous schemes, our scheme has not only good robustness against screen-cam attack, but is also effective against screen-cam with additional common desynchronization attacks.

[1]  Mohamed El Hajji,et al.  A zero-bit Fourier image watermarking for print-cam process , 2018, Multimedia Tools and Applications.

[2]  Xiangyang Wang,et al.  Affine invariant image watermarking using intensity probability density-based Harris Laplace detector , 2012, J. Vis. Commun. Image Represent..

[3]  Xuehu Yan,et al.  A new meaningful secret sharing scheme based on random grids, error diffusion and chaotic encryption , 2013 .

[4]  Tapio Seppänen,et al.  Image watermarking with feature point based synchronization robust to print-scan attack , 2012, J. Vis. Commun. Image Represent..

[5]  Hui Fang,et al.  A Novel Robust Reversible Watermarking Scheme for Protecting Authenticity and Integrity of Medical Images , 2019, IEEE Access.

[6]  W. Effelsberg,et al.  CamMark , 2015 .

[7]  Li Li,et al.  A new approach to chaotic image encryption based on quantum chaotic system, exploiting color spaces , 2013, Signal Process..

[8]  Ingemar J. Cox,et al.  Rotation, scale, and translation resilient watermarking for images , 2001, IEEE Trans. Image Process..

[9]  Yau-Hwang Kuo,et al.  On the Selection of Optimal Feature Region Set for Robust Digital Image Watermarking , 2011, IEEE Transactions on Image Processing.

[10]  Ta Minh Thanh,et al.  Performance analysis of robust watermarking using linear and nonlinear feature matching , 2017, Multimedia Tools and Applications.

[11]  Xinyi Huang,et al.  Cryptographic Hierarchical Access Control for Dynamic Structures , 2016, IEEE Transactions on Information Forensics and Security.

[12]  P. Hsu,et al.  A Robust Digital Watermarking Algorithm for Copyright Protection of Aerial Photogrammetric Images , 2016 .

[13]  Kai Zhou,et al.  Spatial-Perceptual Embedding with Robust Just Noticeable Difference Model for Color Image Watermarking , 2020 .

[14]  Safya Belghith,et al.  Chaos-based partial image encryption scheme based on linear fractional and lifting wavelet transforms , 2017 .

[15]  Wolfgang Effelsberg,et al.  CamMark: Analyzing, Modeling, and Simulating Artifacts in Camcorder Copies , 2015, ACM Trans. Multim. Comput. Commun. Appl..

[16]  Chengyou Wang,et al.  A Robust Color Image Watermarking Algorithm Based on APDCBT and SSVD , 2019, Symmetry.

[17]  Tapio Seppänen,et al.  Increasing the capturing angle in print-cam robust watermarking , 2018, J. Syst. Softw..

[18]  Amit Kumar Singh,et al.  A recent survey on image watermarking techniques and its application in e-governance , 2018, Multimedia Tools and Applications.

[19]  Dong-Wook Kim,et al.  Convolutional Neural Network-Based Digital Image Watermarking Adaptive to the Resolution of Image and Watermark , 2020, Applied Sciences.

[20]  B. S. Manjunath,et al.  `Print and Scan' Resilient Data Hiding in Images , 2006, IEEE Transactions on Information Forensics and Security.

[21]  J. Alison Noble,et al.  Finding Corners , 1988, Alvey Vision Conference.

[22]  Yu-Chuan Chang,et al.  Geometrically Resilient Digital Image Watermarking by Using Interest Point Extraction and Extended Pilot Signals , 2013, IEEE Transactions on Information Forensics and Security.

[23]  Kai Xu,et al.  Interpretation of moiré phenomenon in the image domain. , 2011, Optics express.

[24]  Vijey Thayananthan,et al.  Computer Security and Software Watermarking Based on Return-oriented Programming , 2018 .

[25]  Tapio Seppänen,et al.  Multiple Domain Watermarking for Print-Scan and JPEG Resilient Data Hiding , 2007, IWDW.

[26]  Xiao Zhou,et al.  Robust Image Watermarking Algorithm Based on ASIFT against Geometric Attacks , 2018 .

[27]  Noboru Sonehara,et al.  New high-speed frame detection method: Side Trace Algorithm (STA) for i-appli on cellular phones to detect watermarks , 2004, MUM '04.

[28]  Jun Wu,et al.  A feature-based robust digital image watermarking against geometric attacks , 2008, Image Vis. Comput..

[29]  Cordelia Schmid,et al.  Scale & Affine Invariant Interest Point Detectors , 2004, International Journal of Computer Vision.

[30]  Hassan Douzi,et al.  Robust Fourier Watermarking for ID Images on Smart Card Plastic Supports , 2016 .

[31]  Cordelia Schmid,et al.  An Affine Invariant Interest Point Detector , 2002, ECCV.

[32]  Alfredo De Santis,et al.  One-pass lossless data hiding and compression of remote sensing data , 2019, Future Gener. Comput. Syst..

[33]  Tapio Seppänen,et al.  Wavelet Domain Print-Scan and JPEG Resilient Data Hiding Method , 2006, IWDW.

[34]  Won-gyum Kim,et al.  Image Fingerprinting Scheme for Print-and-Capture Model , 2006, PCM.

[35]  Noboru Sonehara,et al.  Fast watermark detection scheme for camera-equipped cellular phone , 2004, MUM '04.

[36]  Safya Belghith,et al.  A novel image encryption scheme based on substitution-permutation network and chaos , 2016, Signal Process..

[37]  Tapio Seppänen,et al.  Extracting watermarks from printouts captured with wide angles using computational photography , 2016, Multimedia Tools and Applications.

[38]  Wenjun Zeng,et al.  Efficient General Print-Scanning Resilient Data Hiding Based on Uniform Log-Polar Mapping , 2010, IEEE Transactions on Information Forensics and Security.

[39]  Ahmed A. Abd El-Latif,et al.  Robust Encryption of Quantum Medical Images , 2018, IEEE Access.

[40]  Niu Pan-Pan,et al.  A robust color image watermarking using local invariant significant bitplane histogram , 2017 .

[41]  Hang Zhou,et al.  Screen-Shooting Resilient Watermarking , 2019, IEEE Transactions on Information Forensics and Security.

[42]  Xiaodong Lin,et al.  Enabling Efficient and Geometric Range Query With Access Control Over Encrypted Spatial Data , 2019, IEEE Transactions on Information Forensics and Security.

[43]  Mohamed El Hajji,et al.  Robust Print-cam Image Watermarking in Fourier Domain , 2016, ICISP.

[44]  Jun Wu,et al.  A New Digital Image Watermarking Algorithm Resilient to Desynchronization Attacks , 2007, IEEE Transactions on Information Forensics and Security.

[45]  Fenlin Liu,et al.  Exception Handling-Based Dynamic Software Watermarking , 2018, IEEE Access.

[46]  Vijayalakshmi Atluri,et al.  Specification and Verification of Separation of Duty Constraints in Attribute-Based Access Control , 2018, IEEE Transactions on Information Forensics and Security.

[47]  Li Li,et al.  A new image encryption scheme based on cyclic elliptic curve and chaotic system , 2012, Multimedia Tools and Applications.

[48]  Tapio Seppänen,et al.  Toward an interactive poster using digital watermarking and a mobile phone camera , 2012, Signal Image Video Process..

[49]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[50]  Lidija Mandic,et al.  Discrete Fourier transform-based watermarking method with an optimal implementation radius , 2011, J. Electronic Imaging.

[51]  Joaquim Salvi,et al.  Review of CMOS image sensors , 2006, Microelectron. J..

[52]  Chang Dong Yoo,et al.  Image watermarking based on invariant regions of scale-space representation , 2006, IEEE Transactions on Signal Processing.