DWT SS Image Watermarking with Compressive Sensing
Irma Safitri, Ledya Novamizanti, Yosa Yunawan · 2018
We propose a compressive sensing technique with LS Regularized L1 as the reconstruction method for image watermarking. Methods used in image watermarking are DWT and SS. The results of our experiment show that CS can be used as a compression method on image watermarking with good performance, BER approaches zero and no more than 0.3, SSIM approaches 1, and PSNR is above 50 dB. The watermarking process using the DWT and SS methods with CS techniques can be realized which results in an average value for each parameter, namely PSNR 62.707 dB, MSE 0.052, SSIM 0.