Color Image Watermarking Algorithms Based On Quantum Discrete Cosine Transform

The rapid popularization of intelligent electronic products has brought unprecedented intelligent experiences to people.Based on the power to carry large amounts of information,digital images are widely used.The network transmission of digital images provides convenience for people,and digital images also face the risk of various attacks,and their copyright security is threatened.Image watermarking technology has important applications in image copyright protection and data authentication.Quantum image watermarking technology utilizes the characteristics of quantum states to encode and transmit images,which is more secure than classical image watermarking algorithms.According to existing quantum image watermarking algorithms,two invisible and robust quantum color image watermarking algorithms based on quantum discrete cosine transform and one-dimensional chaotic map are devised.The main research work is as follows.A new quantum color image watermarking algorithm based on quantum discrete cosine transform and Sinusoidal-Tent map is suggested,which converts quantum images into quantum transform domain for processing.Image processing in the quantum transform domain will reconcile the robustness and computational efficiency of the watermarking algorithms.To reduce the complexity of quantum circuits,some quantum modules are improved.In the watermark embedding process,the watermark embedding channel in the original quantum color carrier image is selected,and the quantum discrete cosine transform is performed on the selected channel.Aiming at the limited chaotic range of a single one-dimensional chaotic map in the system parameter space,the Sinusoid-Tent map is constructed by combining Sinusoid map with Tent map.Two chaotic sequences are generated to scramble the position information of the watermark image to improve the security of the watermarking algorithm.Subsequently,the scrambled watermark image is embedded into the medium frequency band of the transformed carrier image,the invisibility of the watermark algorithm is ensured.The watermarked quantum color image can be obtained after inverse quantum discrete cosine transform and RGB channels reconstruction.Experimental results verify the invisibility and robustness of the proposed quantum color image watermarking algorithm against a variety of common attacks.A quantum color image watermarking algorithm based on quantum discrete cosine transform,quantum singular value decomposition,and gray wolf optimization algorithm is designed.In the scheme,the combination of quantum discrete cosine transform and quantum singular value decomposition makes up for the shortcoming of the watermark algorithm to against geometric attack under the quantum discrete cosine transform.The optimization algorithm is applied to quantum image watermarking,the gray wolf optimization algorithm balances the invisibility and robustness of the watermark algorithm by optimizing the embedding strength of the watermark.The watermark embedding channel of the quantum color carrier image is selected,and the selected carrier channel is executed by the quantum discrete cosine transform and block processing.Subsequently,the random sequence generated by the Sinusoidal-Tent map is used to select a medium frequency coefficient block.Perform quantum singular value decomposition on the selected medium frequency coefficient block and the watermark image,the watermark information is embedded into carrier image by the additive rule.The watermarked quantum color image can be acquired after inverse quantum discrete cosine transform and RGB channels reconstruction.The normalized cross correlation and the structural similarity measure are used in the designed objective function to meet robustness and invisibility.The good invisibility and robustness of the algorithm are verified by simulation experiments.