Abstract
The significance of watermarking is hiding the digital information by inserting bits into the host image. Hybrid domain image watermarking (Iwg) scheme using discrete wavelet transform (DWT) and singular value decomposition (SVD) is proposed in this paper. Singular values of WI are obtained using SVD and modified by scaling factor. In this paper, we propose evolutionary computing tool known as particle swarm optimization (PSO) for efficient and secured Iwg. Different image processing attacks were performed on the watermarked image to evaluate the performance of the algorithm. By evaluating PSO for watermarking in the presence of several attacks, the proposed method becomes robust than the other conventional methods discussed earlier. The visual quality of watermarked image (Iwd) is measured using PSNR. The existence of watermark is checked by extracting it and the robustness is measured using NCC. The proposed algorithm is implemented using matlab software.
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