Optimization of Watermarking in Image by Using Particle Swarm Optimization Algorithm
Neha Yadav, Dharmveer Singh Rajpoot, Shri Krishna Dhakad · 2020
The current digital era is trending with a secure and advances optimized watermarking schemes for digital images. For optimization of the result that has been obtained by applying the DCT-DWT on the original image is being accomplished by Particle Swarm Optimization (PSO). In this paper, the watermark is inserted in the DWT-DCT coefficients, where the value of the coefficients is larger than some specific value. The embedding of the watermark is in the region with low-frequency coefficients. This paper mainly focuses on DCT-DWT but SVD is also tried on the image watermarking. The PSO is first compared with proposed modified inertia weight-based PSO on standard test function and its effectiveness is proposed. Later, to check the undetectability and to gain the optimized result modified PSO is applied in the image watermarking process. It is also checked that it is robust or not by applying some attacks on the image. Simulation results show that there is a marginal difference between the original and watermarked image. The Optimization technique is successfully implemented to achieve an optimal watermarking solution.