Secure and reversible data hiding scheme for healthcare system using magic rectangle and a new interpolation technique

Parah, Shabir A.; Bashir, Aadil; Manzoor, Misbah; Gulzar, Arifa; Firdous, Maria; Loan, Nazir A.; Sheikh, Javaid A.

doi:10.1016/b978-0-12-815368-0.00011-7

Cited by 6 publications

(2 citation statements)

References 35 publications

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“…Fragile watermarking techniques are either reversible or non-reversible, or blind or nonblind. The blind techniques do not need the original medical image (that's why it is suitable for mobile based telemedicine applications), and reversible techniques can produce the original (PMI and PMR) from the watermark cover (8,9). The most important characteristics for these methods are the ability to recover without distortion of the actual PMI, and the tamper proofing added with authentication (8).…”

Section: Introductionmentioning

confidence: 99%

“…The most important characteristics for these methods are the ability to recover without distortion of the actual PMI, and the tamper proofing added with authentication (8). The purpose of integrity and authentication of PMI and PMR in fragile watermark application is to find and localize a place of tampering (8,9). PMI authentication and recovery capabilities using fragile watermarking include watermark generation and embedding along with tamper localization and some of these methods have PMI self-recovery capabilities (6).…”

Section: Introductionmentioning

confidence: 99%

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Mobile-based Telemedicine Application using SVD and F-XoR Watermarking for Medical Images

Ahmed¹

2020

Baghdad Sci.J

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A medical- service platform is a mobile application through which patients are provided with doctor’s diagnoses based on information gleaned from medical images. The content of these diagnostic results must not be illegitimately altered during transmission and must be returned to the correct patient. In this paper, we present a solution to these problems using blind, reversible, and fragile watermarking based on authentication of the host image. In our proposed algorithm, the binary version of the Bose_Chaudhuri_Hocquengham (BCH) code for patient medical report (PMR) and binary patient medical image (PMI) after fuzzy exclusive or (F-XoR) are used to produce the patient's unique mark using secret sharing schema (SSS). The patient’s unique mark is used later as a watermark to be embedded into host PMI using blind watermarking-based singular value decomposition (SVD) algorithm. This is a new solution that we also proposed to applying SVD into a blind watermarking image. Our algorithm preserves PMI content authentication during the transmission and PMR ownership to the patient for subsequently transmitting associated diagnosis to the correct patient via a mobile telemedicine application. The performance of experimental results is high compare to previous results, uses recovered watermarks demonstrating promising results in the tamper detection metrics and self-recovery capability, with 30db PSNR, NC value is 0.99.

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Section: Introductionmentioning

confidence: 99%