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Title: Hardware realisation of an intelligent medical image watermarking

Authors: Sandeep Bal; Sanjay Das; Soumadeb Dutta; Souma Das; Debamita Biswas; Abhishek Basu

Addresses: Electronics and Communication Engineering, Electrical Engineering, RCC Institute of Information Technology, Kolkata, West Bengal, 700015, India ' Electronics and Communication Engineering, Electrical Engineering, RCC Institute of Information Technology, Kolkata, West Bengal, 700015, India ' Electronics and Communication Engineering, Electrical Engineering, RCC Institute of Information Technology, Kolkata, West Bengal, 700015, India ' Electronics and Communication Engineering, Electrical Engineering, RCC Institute of Information Technology, Kolkata, West Bengal, 700015, India ' Electronics and Communication Engineering, Electrical Engineering, RCC Institute of Information Technology, Kolkata, West Bengal, 700015, India ' Electronics and Communication Engineering, Electrical Engineering, RCC Institute of Information Technology, Kolkata, West Bengal, 700015, India

Abstract: Digital intelligence features the competence to transmit data at a swifter measure with a substantially superior computing relaxation. Hindrance to this is the up rise of copyright transgression problems. In digital watermarking, novel consumer embeds a distinguishable imprint in the digital medium for eschewing franchise breach. A tunnelled version of the aforementioned methodology is medical image watermarking which primarily focuses on embedding of the watermark in a concerned medical pictorial. The writers have concerned on the realm of intelligent medical image watermarking. Medicative images like USG, CT scan, MRI and X-rays are utilised. An inkling of shovelling a masked image in juxtaposition to the novel medical paradigm has been insinuated. The binary mask used is primarily sectioned according to a fixed ratio and in accordance with a predefined intelligent schematic, the watermark bits are hidden in only a part of the sections to prevent distortion of the information pixels in the medical image. The entrenchment and excerpting epistemologies have been operationalised utilising FPGA. The image testing parameter outcomes are discernibly persistent. Furthermore, an analogy of the proposed approach against few germane methods ensures the supremacy of the technique put forward.

Keywords: copyright transgression; intelligent medical image watermarking; intelligent schematic; fixed ratio; FPGA.

DOI: 10.1504/IJNP.2020.105999

International Journal of Nanoparticles, 2020 Vol.12 No.1/2, pp.33 - 49

Received: 14 Jan 2019
Accepted: 24 Jun 2019

Published online: 20 Mar 2020 *

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