Rotation Correction Algorithm Based on Polar Harmonic Fourier Moments and Optimization of Color Image Security Quantization Watermarking Scheme

Abstract

A continuous orthogonal moment is chosen as an image feature descriptor, and a rotation correction algorithm is proposed that can accommodate any order and repetition. In order to demonstrate the expanded application scope of the algorithm, a color image watermarking algorithm based on quantization concept is developed, which enhances the classical algorithm's resistance to rotation attacks. Taking into account the current research status of watermarking algorithms, a chaotic system is employed to bolster the security of the entire process. The experimental results indicate that the calibration algorithm exhibits strong universality and high accuracy. In comparison, the mean square error of the proposed rotation angle estimation model rose from 0.042 to 0.018, and the mean absolute error climbed from 0.065 to 0.032. With this enhancement, the robustness of color image watermarking algorithms against geometric attacks has taken a significant leap forward, the normalized correlation coefficient of quantization watermarking algorithm, which could not resist rotation attack, is now stable above 0.9. Furthermore, the modulated chaotic system heightens the security of the watermark algorithm, the key space up to 1015, while also improving the quality of extracted watermarks.

Keywords

• Image continuous orthogonal moment
• rotation correction
• color image robust watermarking
• chaotic system
• safety watermarking