Publication Type:

Conference Paper

Source:

2011 3rd International Conference on Communication Systems and Networks, COMSNETS 2011, Bangalore (2011)

ISBN:

9781424489534

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-79952542824&partnerID=40&md5=5a2aa3217c0097b89bbed93af942a522

Keywords:

Arithmetic Coding, Bit plane substitution, Communication systems, Comparative studies, Confidential information, Cryptography, Data hiding, Dicom images, Health care, Identification number, Image coding, Information management, Information technology, Lossless, Medical data, Medical Image Processing, Medical images, Medical imaging, Medical information system, Mobile health care, Original images, patient information, Personal communication systems, Personal information, Security threats, Steganography

Abstract:

Information Technology advances have bought forth new challenges in healthcare information management, due to the vast amount of medical data that needs to efficiently stored, retrieved and distributed, and the increased security threats that explicitly have to be addressed. In particular, embedding patient information into a medical image through data hiding could improve the level of security and confidentiality that is essential for diffusion of medical information system. Such security provides integrity of medical images and corresponding documentations, along with protection of confidential information. The scheme imperceptibly embeds in medical images patient's personal information like name and unique identification number. Our objective was to have a simple model which uses minimal resources and hence a strong candidate for use in mobile healthcare applications where the resources of memory, computation and connectivity are extremely limited. To meet these requirements, this paper presents a powerful yet simple lossless scheme for the medical image processing. The method is distortion-tolerant in application. The original image can be recovered with almost no distortion. The scheme has been implemented for images of various sizes and a comparative study is presented. © 2011 IEEE.

Notes:

cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@7c66a190 ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@35f934be Through org.apache.xalan.xsltc.dom.DOMAdapter@7bf5c1a0; Conference Code:84146

Cite this Research Publication

V. N. Kumar, Rochan, M., Hariharan, S., and Rajamani, K., “Data hiding scheme for medical images using lossless code for mobile HIMS”, in 2011 3rd International Conference on Communication Systems and Networks, COMSNETS 2011, Bangalore, 2011.