Design of digital watermarking algorithm based on compression sensing

Yichen Wang; Hu Sheng; Jing Li; Jiating Li; Jinxing Liu

doi:10.1117/12.3002802

9 August 2023 Design of digital watermarking algorithm based on compression sensing

Yichen Wang, Hu Sheng, Jing Li, Jiating Li, Jinxing Liu

Proceedings Volume 12782, Third International Conference on Image Processing and Intelligent Control (IPIC 2023); 1278216 (2023) https://doi.org/10.1117/12.3002802
Event: Third International Conference on Image Processing and Intelligent Control (IPIC 2023), 2023, Kuala Lumpur, Malaysia

Abstract

With the rapid development of multimedia technology and the Internet, the security of multimedia data is facing more and more threats. Digital watermarking technology can effectively solve this problem, and compressed sensing theory is widely used in the field of digital watermarking. As the theoretical basis of the new generation of information processing, this theory can effectively solve the problem of multimedia data being attacked. Based on compressed sensing theory, combined with discrete wavelet transform and SVD decomposition, this research realized the embedding and extraction of watermark in the observation domain after image thinning, and tested different forms of watermark attacks such as salt pepper noise, Gaussian noise and filtering on the watermarked image. The experimental data shows that the PSNR value and NC of the algorithm are in line with expectations, and it has good robustness, transparency, and extraction resistance.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yichen Wang, Hu Sheng, Jing Li, Jiating Li, and Jinxing Liu "Design of digital watermarking algorithm based on compression sensing", Proc. SPIE 12782, Third International Conference on Image Processing and Intelligent Control (IPIC 2023), 1278216 (9 August 2023); https://doi.org/10.1117/12.3002802

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