Abstract
With the rapid development of digital signal processing and computer network technology, the copyright protection of digital products is facing a very severe challenge. The digital watermarking technology mainly hides some digital information in the digital product to achieve the data copyright protection and the content authentication. In this paper, a copy-proof watermarking algorithm for color image based on deep learning is proposed. The YUV space of the color image is selected, and the DCT and binarization of the chrominance component are used to obtain the unique characteristic information of the image. Experimental results show that the proposed algorithm is robust to noise attack, JPEG compression, filtering and cropping attacks, and can resist copying attacks effectively.
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