An Arnold DCT based Non-Blind Watermarking Technique for Medical Images

2018 ◽  
Vol 6 (5) ◽  
pp. 111-117
Author(s):  
Lendale Venkateswarlu ◽  
◽  
◽  
◽  
N Vyagreswara Rao ◽  
...  
2015 ◽  
Vol 14 (1) ◽  
pp. 50-59 ◽  
Author(s):  
Yatindra Pathak ◽  
◽  
Yogendra Kumar Jain ◽  
Satish Dehariya ◽  
◽  
...  

Author(s):  
Mohammad S. Nambakhsh ◽  
Alireza Ahmadian ◽  
Mohammad Ghavami ◽  
Reza S. Dilmaghani ◽  
S. Karimi-Fard

2020 ◽  
Vol 17 (1) ◽  
pp. 0178
Author(s):  
Hanaa Mohsin Ahmed

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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