Robust Zero-Watermarking Scheme Based on Chebyshev-Fourier Moments

Zero-watermarking is widely used in the field of information security due to its “zero modification” feature. Due to the strong geometric invariance of image moments, this paper applies the fusion of Chebyshev radial function and Fourier transform factor to the zero-watermarking method, extracts the stable amplitude features of the image through the complex moments computation, combines the wavelet transform with the edge and detail enhancement of the feature map to further improve the robustness of the image, and finally constructs the zero-watermark with the encrypted watermark. Experiments show that the method possesses low BER in the face of noise attack and geometric attack, which improves the watermark's resistance to noise and geometric attack compared with other methods.