Kavitha K. J.

Work place: Jain Institute of Technology, Davangere & Research Scholar,CSE Dept,Sathyabama University, Chennai, India



Research Interests: Image Processing


Kavitha KJ, presently working as Asst Prof in Electronics & Communication Engineering Department in Jain Institute of Technology, Davangere, Karnataka. She has a teaching experience of total 14 years. She got her Bachelor of Engineering in Electronics & Communication Engineering from Tontadarya college of Engineering, Gadag in the year 2003, and Master of Technology in Computer Science and Engineering from Bapuji Institute of Engineering & Technology, Davangere in the year 2009 from VTU, Karnataka. She is currently pursuing her Philosophy of Doctorate in the field of Medical Images using Image processing Technique using Mat lab in Sathyabama University, Chennai, Tamilnadu.

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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