Abstract:In order to ensure the security and processing effect of power big data, this paper presents an embedding and extracting method based on quantum image watermarking technology. In this method, the gray image of the original carrier is first represented by quantum, and the sub-graph is obtained by decomposing the image of the original carrier four times with the quantum wavelet transform. And the coefficients of the sub-graph are transformed by quantum discrete cosine transform. The diagonal matrix is obtained by singular value decomposition of coefficient matrix, then the watermark is scrambled by quantum generalized Arnold transform and Logistic map, and singular value decomposition is carried out to realize the embedding of quantum watermark. After the embedded watermark image is decomposed, the gray level information of each pixel is an equalized quantum superposition state, and the whole image is measured as a uniform white noise. The extraction process of watermark image is an inverse process of embedding. Simulation results show that compared with classical image watermarking, quantum image watermarking has lower computational complexity, faster computation speed, better security of embedded watermark image, and does not affect the visual effect of carrier image.