Title: A robust feature points-based screen-shooting resilient watermarking scheme

Authors: Ruixia Yan; Yuan Jia; Lin Gao

Addresses: School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang Sichuan 621010, China ' School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang Sichuan 621010, China ' College of Blockchain Technology, Chengdu University of Information Technology, Chengdu Sichuan 610225, China

Abstract: Screen-shooting will lead to information leakage. Anti-screen-shooting watermark, which can track the leaking sources and protect the copyrights of images, plays an important role in image information security. Due to the randomness of shooting distance and angle, more robust watermark algorithms are needed to resist the mixed attack generated by screen-shooting. A robust digital watermarking algorithm that is resistant to screen-shooting is proposed in this paper. We use improved Harris-Laplace algorithm to detect the image feature points and embed the watermark into the feature domain. In this paper, all test images are selected on the dataset USC-SIPI and six related common algorithms are used for performance comparison. The experimental results show that within a certain range of shooting distance and angle, this algorithm presented can not only extract the watermark effectively but also ensure the most basic invisibility of watermark. Therefore, the algorithm has good robustness for anti-screen-shooting.

Keywords: blind watermarking; screen-shooting; robustness; invisibility; feature points; QR code; discrete cosine transform; DCT.

DOI: 10.1504/IJICS.2024.141594

International Journal of Information and Computer Security, 2024 Vol.24 No.3/4, pp.155 - 187

Received: 06 Sep 2022
Accepted: 20 Feb 2023
Published online: 26 Sep 2024 *

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