Please use this identifier to cite or link to this item: http://dspace.cas.upm.edu.ph:8080/xmlui/handle/123456789/71
Title: A Reversible Watermarking Java Application for Medical Images
Authors: Magboo, Vincent Peter C.
Pantano, Dan M.
Keywords: Reversible Watermarking
Congruence Computations
Medical Images
Issue Date: Apr-2013
Abstract: Medical Images are widely used around the world today. Especially with new technology being developed, they are being used for more and more applications in the medical field. As such, the security of the transfer of medical images is a necessity. Possible situations might be unauthorized access, tampering of the images and even confusion of a medical image for a different patient. Usually, image watermarking is used to achieve this. However, inserting a watermark causes permanent distortions to the image used. For different applications, these are acceptable for as long as the image is visually comparable to the original. But for medical images, it is necessary that the image must exactly be the same as the original, as even small changes could cause a wrong diagnosis and possibly even loss of human life. The Reversible Watermarking Application has been built to address these problems. Reversible Watermarking has the added capability of perfectly restoring the carrier image used. It allows the user to embed a watermark file to a single or multiple grayscale medical images. Furthermore, the user can add security by providing a password which is then used to generate a key for the encryption of the watermarked image using the Advanced Encryption Standard. The Reversible Watermarking algorithm used, which relies on Congruence Computations, allows for a high embedding capacity with a relatively small complexity when compared with other reversible watermarking algorithms. Being the standard used by the USA, the Advanced Encryption Standard assures that the encrypted image is secure against possible attacks to gain access to the image.
URI: http://cas.upm.edu.ph:8080/xmlui/handle/123456789/71
Appears in Collections:Computer Science SP

Files in This Item:
File Description SizeFormat 
Pantano - SP Final.pdf1.47 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.