Literature DB >> 28782602

Hiding Electronic Patient Record (EPR) in medical images: A high capacity and computationally efficient technique for e-healthcare applications.

Nazir A Loan1, Shabir A Parah2, Javaid A Sheikh1, Jahangir A Akhoon1, Ghulam M Bhat1.   

Abstract

A high capacity and semi-reversible data hiding scheme based on Pixel Repetition Method (PRM) and hybrid edge detection for scalable medical images has been proposed in this paper. PRM has been used to scale up the small sized image (seed image) and hybrid edge detection ensures that no important edge information is missed. The scaled up version of seed image has been divided into 2×2 non overlapping blocks. In each block there is one seed pixel whose status decides the number of bits to be embedded in the remaining three pixels of that block. The Electronic Patient Record (EPR)/data have been embedded by using Least Significant and Intermediate Significant Bit Substitution (ISBS). The RC4 encryption has been used to add an additional security layer for embedded EPR/data. The proposed scheme has been tested for various medical and general images and compared with some state of art techniques in the field. The experimental results reveal that the proposed scheme besides being semi-reversible and computationally efficient is capable of handling high payload and as such can be used effectively for electronic healthcare applications.
Copyright © 2017. Published by Elsevier Inc.

Entities:  

Keywords:  Computational complexity; Edge detection; Pixel Repetition Method; Reversibility

Mesh:

Year:  2017        PMID: 28782602     DOI: 10.1016/j.jbi.2017.08.002

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  2 in total

1.  Efficient Security and Authentication for Edge-Based Internet of Medical Things.

Authors:  Shabir A Parah; Javaid A Kaw; Paolo Bellavista; Nazir A Loan; G M Bhat; Khan Muhammad; Victor Hugo C de Albuquerque
Journal:  IEEE Internet Things J       Date:  2020-11-13       Impact factor: 9.471

2.  Secure Patient Data Transfer Using Information Embedding and Hyperchaos.

Authors:  Hanan Aljuaid; Shabir A Parah
Journal:  Sensors (Basel)       Date:  2021-01-04       Impact factor: 3.576

  2 in total

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