An SVD-based watermarking scheme using SA algorithm and compared to GA based method

Image watermarking, the process of embedding data into a cover image and extract watermark under different attacks, can be used primarily for copyright protection and other purposes. Two key components in watermarking are perceptual transparency and robustness of the watermark. A tradeoff between these two features exists, which can be introduced as an optimization problem. Simulated annealing and genetic algorithms are two stochastic methods which are currently used for difficult optimization problems. Simulated annealing as optimization algorithm has not been used in image watermarking. So to achieve a better optimization and comparing optimization algorithms, we applied SA and GA algorithms in watermarking based on SVD. Simulation results show that the SA algorithm method has better results from the other algorithm in some attacks.