B. Priestly Shan

Work place: Principal, Eranad Knowledge City-Technical Campus, Manjeri, Kerala, India



Research Interests: Computational Science and Engineering, Engineering


Dr. Priestly B Shan, presently working as Principal, Eranad Knowledge City-Technical Campus, Manjeri, Kerala. He also worked as a Dean in Royal College of Engineering,India, as a Professor in Amal Jyothi College of Engineering, Kottayam, India,St Josephs College of Engineering, India and Muthayammal Engineering College. He got his Master degree fom Anna University,India and Philosophy of Doctorate in the field of Medical Imaging from Anna University in the year 2010,Chennai,tamilanadu.He has also done Msc Applied Psychology, Psychology from Bharathidasan University. He was IEEE member and Life Member in ISTE, IETE and IACSIT. He has also accomplished a research project on 4D ultra sound.

Author Articles
Reversible Joint Watermarking for Medical Images and Videos

By Kavitha K. J. B. Priestly Shan

DOI: https://doi.org/10.5815/ijem.2018.05.02, Pub. Date: 8 Sep. 2018

Nowadays Digital Watermarking is widely used in the health care centers to secure the patient’s records. In India, nowadays the hospitals are adapting the telemedicine technology where it is providing facility for the patients and doctors to transmit the reports and as well as to access it easily as and when it is required to do so. In order to protect the privacy, authenticity and the integrity of the Electronic Health Record (EHR), some measure has to be employed. In this regard Digital watermarking (DWM) plays a major role. Digital watermarking is implemented in mainly two domains: one at the pixel level usually called as the spatial domain and the other is at the frequency components of the information called as the frequency domain. Of the two methods, second method is most commonly adapted by most of the researchers. It includes the transforms like Discrete Cosine Transform (DCT), Discrete Fourier Transform (DFT), Discrete Wavelet Transform (DWT) and the variations of DWT viz. Lifting Wavelet Transform (LWT) and Integer Wavelet Transform (IWT). In this paper DWM for the medical scanned images and the medical video is implemented using DWT. The watermark is patient information which will be converted to quick response (QR) code using the built in function. A simple key is used at the embedding part of the DWM technique and the same key is used at the decoder side to retrieve the information which enhances the security of both medical images/videos and the patient details.

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