Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Reversible Multipurpose Watermarking Algorithm Using ResNet and Perceptual Hashing

  • Mingfang Jiang (School of Computer Science, Hunan First Normal University) ;
  • Hengfu Yang ( Hunan Provincial Key Laboratory of Informationization Technology in Elementary Education, Hunan First Normal University)
  • Received : 2023.02.14
  • Accepted : 2023.03.21
  • Published : 2023.12.31
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Abstract

To effectively track the illegal use of digital images and maintain the security of digital image communication on the Internet, this paper proposes a reversible multipurpose image watermarking algorithm based on a deep residual network (ResNet) and perceptual hashing (also called MWR). The algorithm first combines perceptual image hashing to generate a digital fingerprint that depends on the user's identity information and image characteristics. Then it embeds the removable visible watermark and digital fingerprint in two different regions of the orthogonal separation of the image. The embedding strength of the digital fingerprint is computed using ResNet. Because of the embedding of the removable visible watermark, the conflict between the copyright notice and the user's browsing is balanced. Moreover, image authentication and traitor tracking are realized through digital fingerprint insertion. The experiments show that the scheme has good visual transparency and watermark visibility. The use of chaotic mapping in the visible watermark insertion process enhances the security of the multipurpose watermark scheme, and unauthorized users without correct keys cannot effectively remove the visible watermark.

Keywords

Acknowledgement

This work was supported in part by the Social Science Foundation of Hunan Province (No. 19YBA098).

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