High Efficient and Robust Quantum Watermarking Algorithm Based on Quantum Log-polar Images and Matrix Coding

High Efficient and Robust Quantum Watermarking Algorithm Based on Quantum Log-polar Images and Matrix Coding

With the development of quantum computer and quantum network, the security of quantum images has been becoming more and more important in the 21st century. In this paper, a high efficient and robust quantum watermarking algorithm is proposed to better protect copyright of quantum images, which is based on quantum log-polar image (QUALPI) representation model, matrix coding and the least significant qubit (LSQb) modification technique. By taking advantage of QUALPI representation model’s two important properties, i.e., rotation and scale invariances, the new algorithm makes quantum watermark image extracted having a good robustness when stego image was subjected to geometric attacks, such as rotation and scaling. In addition, by adopting matrix coding and the LSQb modification technique, the new algorithm can achieve great transparency for high embedding efficiency and low modification rate. Experimental simulation based on MATLAB shows that the new algorithm has a good performance on robustness and transparency as the conclusions.