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Postponed Watermarking Based on CT Predictions Scan Images for Content Authentication once Copyright Protection

Author(s):

Bhor Rutuja Bharat , Sharadchchandra Pawar College of Engineering, Otur; Prof.Monika D.Rokade, Sharadchchandra Pawar College of Engineering, Otur

Keywords:

Region of Interest (ROI), Non-Profit Region Watermarking (RONI), CT Predictions Scan Images

Abstract

In the application of teleradiology, specialists from around the world, they exchange images of Computed Tomography (CT) and patient information for diagnostic and therapeutic purposes. However, when these images are exchanged with social networks such as the Internet, two important issues are created: authentication of the content and copyright protection. In this paper, a watermarking system that introduces a high-volume watermarking of CT Scan images based on region of interest (ROI) and non-profit region watermarking (RONI) is introduced. The system inserts and removes confidential data from the CT scan image and restores the image to its original state at the end of the reception. After separating the host image from the ROI and RONI area, the scheme incorporates a weak watermark (FW) into the ROI to check for ROI integrity and a solid watermark (RW) on RONI to protect copyright. The youth of the proposed system is twofold. First, it takes advantage of the separation algorithm to avoid additional information about vertices that are usually required at the end of the reception to select the ROI. Second, it uses predictable retrieval-based watermarking to avoid further over-mapping of the area, which is often needed to reverse many of the proceeds of image tagging treatments. Experimental results show that the proposed system exceeds watermarking therapeutic methods recently reported in the literature in terms of embedded and invisible image volume.

Other Details

Paper ID: IJSRDV9I100131
Published in: Volume : 9, Issue : 10
Publication Date: 01/01/2022
Page(s): 181-184

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