A Digital Watermarking Approach using SMQT, OTSU, DWT and IDWT

In this paper, a new digital watermarking model is proposed for the medical images. An improved SMQT is used for image enhancement and the image is being segmented using OTSU thresholding. Discrete Wavelet Transform (DWT) and Inverse DWT are used to embed and extract the watermark on the host image. The goal of our scheme is to make the watermarking more robust against attacks and secure the image from privacy threats. In the experimental evaluation, we tested our proposed approach with various attacks on the watermarked image and then host image is extracted and matched with the original image. Experimental results demonstrate that our proposed model outperforms the existing state-of-art models by exhibiting higher PSNR, lower MSE and improved CC values.