An efficient genetic algorithm based gray scale digital image watermarking for improving the robustness and imperceptibility

The Proposed Genetic Algorithm based Digital Image watermarking scheme is improved by embedding the watermark in Third Level Discrete Wavelet Transform (DWT) of original image, after applying Singular Value Decomposition (SVD) to watermark image. The Genetic Algorithm optimization technique (GA) is used for best scaling factor (SF) to modify the SVD coefficients of watermark image. The PSNR and NCC used as fitness function in GA and it evaluate the Robustness and Imperceptibility of watermarking scheme. Experimental results are provided to illustrate that the proposed scheme is able to withstand a variety of image processing attacks very well and comparison is made with previous work.