A Robust Image Watermark Algorithm Based on Double Encryption

Most of the current image watermarking algorithms focus on robustness and imperceptibility, while few research targeting security. This paper combines digital watermarking with cryptography, and proposes an image encryption algorithm combined Memristive Chaotic Cellular Neural Networks (MCCNN) and Arnold transformation. The MCCNN is used to generate multiple and diverse chaotic sequences to improve the security of the watermark image, and the two-dimensional discrete wavelet transform (DWT) is adopted to embed the watermark according to the embedding intensity value. The experiment results show the effectiveness of the proposed image watermarking algorithm based on double encryption, which is robust to common attacks such as image rotation, noise addition, and JPEG compression.