关键词: 图像水印, 奇异值分解算法, 尺度不变特征变换, 粒子群优化算法, 水印嵌入区域

Abstract: Aiming at the contradiction between watermark visibility and antiattack robustness in the current image watermarking algorithm, we designed an image watermarking algorithm based on singular value decomposition (SVD) and particle swarm optimization (PSO) algorithm to obtain the ideal image watermark effect. Firstly, the image of original carrier was transformed by scale invariant feature, the watermark embedding area was selected, and the watermark embedding region was divided into multiple subblocks. Secondly, the singular value decomposition algorithm was used to deal with the subblocks, and the singular value matrix was established, and the watermark and the subblock were fused into the watermark matrix. Finally, the particle swarm optimization algorithm was used to determine the intensity of watermark embedding. The simulation experiment results of image watermarking show that the algorithm can get the ideal watermark embedding effect, the wa
termark is invisible, the human eye cannot feel the effect of the watermark embedding, the watermark is robust to various attacks, and the overall performance of the watermarking algorithm is much better than other current image watermarking algorithms.

Key words: image watermarking, singular value decomposition algorithm, scale invariant feature transform, particle swarm optimization algorithm, watermark embedding area