Institutional Repository
Institutional Repository Institutional Repository Login  Institutional Repository  
  • UOC Library |
  •  |
  •  |

Home >
Research >
Techonology and Communication >
Computer Science, Technology and Multimedia >
Articles >

Please use this identifier to cite or link to this item:
Title: Reversible and high capacity data hiding in medical images
Authors: Fallahpour, Mehdi
Megías Jiménez, David
Ghanbari, Mohammed
Keywords: Data hiding
Image watermark
Medical images
Issue Date: Mar-2011
Publisher: IET
Type: Article
Series/Report no.: Fallahpour, Mehdi; Megías, David; Ghanbari, Mohammed (2011). "Reversible and high capacity data hiding in medical images", IET Image Processing:5(2), pp. 190-197, ISSN: 1751-9659, DOI: 10.1049/iet-ipr.2009.0226
Abstract: In this paper we introduce a highly efficient reversible data hiding system. It is based on dividing the image into tiles and shifting the histograms of each image tile between its minimum and maximum frequency. Data are then inserted at the pixel level with the largest frequency to maximize data hiding capacity. It exploits the special properties of medical images, where the histogram of their nonoverlapping image tiles mostly peak around some gray values and the rest of the spectrum is mainly empty. The zeros (or minima) and peaks (maxima) of the histograms of the image tiles are then relocated to embed the data. The grey values of some pixels are therefore modified. High capacity, high fidelity, reversibility and multiple data insertions are the key requirements of data hiding in medical images. We show how histograms of image tiles of medical images can be exploited to achieve these requirements. Compared with data hiding method applied to the whole image, our scheme can result in 30%-200% capacity improvement and still with better image quality, depending on the medical image content. Additional advantages of the proposed method include hiding data in the regions of non-interest and better exploitation of spatial masking.
Language: eng
Appears in Collections:Articles

Add This:


  0 (0 valuations)

Files in This Item:

File Description SizeFormat
preprint-IETIP-2011.pdf2.79 MBAdobe PDFPreview  Download

Author names in Twitter

Author names in FriendFeed

Recommend this item

SFX Query

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


The library replies
A product of the Universitat Oberta de Catalunya Virtual Library
Legal notice | Cookie policy