Work place: ABV Indian Institute of Information Technology & Management, Gwalior 474010, Madhya Pradesh, India.
Research Interests: Soft Computing, Image Processing, Pattern Recognition, Computer Vision, Artificial Intelligence
Dr. Mahua Bhattacharya is an Associate Professor since December 2006 of ABV Indian Institute of Information Technology and Management, an MHRD Institute of Govt. of India. She had her B.Tech and M.Tech degree from the institute of Radio Physics and Electronics, Calcutta University. She worked as a research scientist at Indian Statistical Institute, Calcutta from 1995 till 2000 Calcutta and got her Ph.D degree on medical image processing in 2001. Her area of specialization is based on Image Processing, Pattern Recognition, Computer Vision, Soft Computing. She works in the area of Multimodal Medical Image Analysis, Medical Image Fusion, Image Registration, Mammographic Image Analysis, Classification of Tumor/Cancer Lesion in CNS, Study of Bone Degeneracy. She was recipient of Frank George award for her paper entitled - Cybernetic Approach to Medical Technology: Application to Cancer Screening and Other Diagnostics' WOSC the World Organization of Systems & Cybernetics, UK. She has published more than 120 papers in International journals and conference proceedings and as book chapters. She is a selected member of Irish Pattern Recognition and Classification Society, 2006, UK and member of International Association of Pattern recognition (IAPR) and coordinating member of National Brain Research Centre (NBRC). She is invited Speakers in different international and national forums and serves as Program Chairs, Session Chairs and Advisory Technical Committees of International Conferences. She is reviewers of IEEE, Elsevier, Springer and Wiely journals. She is also Principal Investigator of various Govt. sponsored research projects.
DOI: https://doi.org/10.5815/ijigsp.2014.04.03, Pub. Date: 8 Mar. 2014
In this paper a new type of information hiding skill in biomedical images is proposed through a combination of cryptography and digital watermarking to achieve the enhancement in confidential and authenticated data storage and secured transmission. Here patient's name and doctor's name are considered as patient's information which is encrypted using cryptography and embedded in the scan image of that patient through watermarking. RSA algorithm is used for encryption and higher order bit LSB replacement technique is used for embedding the information. The private keys are also embedded in the cover image to have better security and accurate recovery of the hidden information. The outcome of the proposed methodology shows that the hidden information doesn't affect the cover image and it can be recovered efficiently even from several noisy images. The strength of the proposed embedding scheme is also supported by several image quality matrices.[...] Read more.
Subscribe to receive issue release notifications and newsletters from MECS Press journals