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.

Authors:
Chen Weitong, Ren Na, Zhu Changqing, Zhou Qifei, Seppänen Tapio, Keskinarkaus Anja

Publication type:
A1 Journal article – refereed

Place of publication:

Keywords:
DFT, local square feature region, robust watermarking, Screen-cam process, Synchronization

Published:

Full citation:
Chen, W.; Ren, N.; Zhu, C.; Zhou, Q.; Seppänen, T.; Keskinarkaus, A. Screen-Cam Robust Image Watermarking with Feature-Based Synchronization. Appl. Sci. 2020, 10, 7494.

DOI:
https://doi.org/10.3390/app10217494

Read the publication here:
http://urn.fi/urn:nbn:fi-fe2020120299054