Region of Interest based digital watermarking model for watermarking of two medical images at a time

Abstract

Abstract To provide the evidence of proper authentication, extraction of signature or logo from the supplied document which is concealed prior to the sending of that document is essential. Usually, medical images are concealed by the doctor’s signature or hospital logo and patients’ information. From 19 literatures, including 6 recent works, no evidence of watermarking more than one medical image using one grayscale logo at a time is shown by them, which is the core motivation of this research work. The proposed model of watermarking double host images with successful extraction from prior embedding of the watermark logo image is done in the experiment. The model is blind and no lossy compression method is applied. And the proposed model outperformed some of the state of the art models in terms of two quality parameters like Peak to Signal Noise Ration (PSNR) and Normalized Correlation (NC).