Remote Sensing Image Zero-Watermarking Algorithm Based on Accurate Polar Harmonic Fourier Moment

Abstract

This paper introduces a remote zero-watermarking algorithm based on polar harmonic Fourier moments (PHFM) and Logistic chaotic mapping. In this algorithm, Gaussian numerical integration is used to calculate the PHFM of the original gray image and construct a binary feature image. Finally, the binary feature image is XOR with the scrambled logo image to obtain a zero-watermarking image. When copyright protection is verified, the logo image obtained by XORing the binary feature image and the image to be verified is compared with the original logo image to determine the copyright ownership of the image. The experimental results show that compared with other zero-watermarking algorithms, the proposed algorithm is robust to both conventional image attacks and geometric attacks.