This paper is published in Volume-2, Issue-6, 2016
Area
Image Processing
Author
Sumit Kumar Srivastava, Harikesh Pandey
Org/Univ
Dr. APJ Abdul Kalam Technical University, Lucknow, UP, India
Pub. Date
21 December, 2016
Paper ID
V2I6-1201
Publisher
Keywords
Image Watermarking, Medical Image watermarking, Steganography, Data hiding, DWT Transform.

Citationsacebook

IEEE
Sumit Kumar Srivastava, Harikesh Pandey. Medical Image Watermarking with Patient Details as Watermark, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Sumit Kumar Srivastava, Harikesh Pandey (2016). Medical Image Watermarking with Patient Details as Watermark. International Journal of Advance Research, Ideas and Innovations in Technology, 2(6) www.IJARIIT.com.

MLA
Sumit Kumar Srivastava, Harikesh Pandey. "Medical Image Watermarking with Patient Details as Watermark." International Journal of Advance Research, Ideas and Innovations in Technology 2.6 (2016). www.IJARIIT.com.

Abstract

The Digital watermarking has been introduced for increasing the medical image security, confidentiality and integrity. The Medical image watermarking is a special sub-division of the image watermarking in the aspects that the images have some special requirements. The Medical image watermarking is an appropriate technique applied for increasing security and authentication of the medical data or information, which is very crucial and used for further diagnosis and future reference. This paper discusses the available medical image watermarking techniques for protecting and authenticating the medical data. The paper focuses on about the perceptual designing of the watermark for the digital images. The watermark designed perceptually is then embedded to the digital images in wavelet domain. A perceptual model is applied on to perceptually shape the watermark. This paper represents a primary study on the degradation of medical images when embedded with various watermarks, using a variety of the popular systems. The Image quality is measured with a number of widely used matrices, which have been used elsewhere in the image processing. The watermark before embedding can be compressed. This will lead to more secured and safely system. Also, it will take more effort to break the system. Consequently, the medical image watermarking remains an open field for the research and it appears that a selection of various watermarks for different medical image types is the most suitable solution to the generic problem.