Gene

Complex wavelet transform

Algorithm

Chaotic

Digital watermarking

Robustness (evolution)

Biochemistry

Computer science

Watermark

Embedding

Wavelet transform

Discrete wavelet transform

Discrete cosine transform

Link encryption

Pattern recognition (psychology)

Mathematics

Multiple encryption

Image (mathematics)

Hénon map

Transformation geometry

Watermarking attack

Artificial intelligence

Cryptography

Chemistry

Computer vision

Wavelet

Applied Sciences

To resolve the contradiction between existing watermarking methods—which are not compatible with the watermark’s ability to resist geometric attacks—and robustness, a robust multi-watermarking algorithm suitable for medical images is proposed. First, the visual feature vector of the medical image was obtained by dual-tree complex wavelet transform and discrete cosine transform (DTCWT-DCT) to perform multi-watermark embedding and extraction. Then, the multi-watermark was preprocessed using the henon map chaotic encryption technology to strengthen the security of watermark information, and combined with the concept of zero watermark to make the watermark able to resist both conventional and geometric attacks. Experimental results show that the proposed algorithm can effectively extract watermark information; it implements zero watermarking and blind extraction. Compared with existing watermark technology, it has good performance in terms of its robustness and resistance to geometric attacks and conventional attacks, especially in geometric attacks.

A Robust Multi-Watermarking Algorithm for Medical Images Based on DTCWT-DCT and Henon Map