Cargando…

A dual adaptive watermarking scheme in contourlet domain for DICOM images

BACKGROUND: Nowadays, medical imaging equipments produce digital form of medical images. In a modern health care environment, new systems such as PACS (picture archiving and communication systems), use the digital form of medical image too. The digital form of medical images has lots of advantages o...

Descripción completa

Detalles Bibliográficos
Autores principales: Rahimi, Farhad, Rabbani, Hossein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3142237/
https://www.ncbi.nlm.nih.gov/pubmed/21682862
http://dx.doi.org/10.1186/1475-925X-10-53
_version_ 1782208821850013696
author Rahimi, Farhad
Rabbani, Hossein
author_facet Rahimi, Farhad
Rabbani, Hossein
author_sort Rahimi, Farhad
collection PubMed
description BACKGROUND: Nowadays, medical imaging equipments produce digital form of medical images. In a modern health care environment, new systems such as PACS (picture archiving and communication systems), use the digital form of medical image too. The digital form of medical images has lots of advantages over its analog form such as ease in storage and transmission. Medical images in digital form must be stored in a secured environment to preserve patient privacy. It is also important to detect modifications on the image. These objectives are obtained by watermarking in medical image. METHODS: In this paper, we present a dual and oblivious (blind) watermarking scheme in the contourlet domain. Because of importance of ROI (region of interest) in interpretation by medical doctors rather than RONI (region of non-interest), we propose an adaptive dual watermarking scheme with different embedding strength in ROI and RONI. We embed watermark bits in singular value vectors of the embedded blocks within lowpass subband in contourlet domain. RESULTS: The values of PSNR (peak signal-to-noise ratio) and SSIM (structural similarity measure) index of ROI for proposed DICOM (digital imaging and communications in medicine) images in this paper are respectively larger than 64 and 0.997. These values confirm that our algorithm has good transparency. Because of different embedding strength, BER (bit error rate) values of signature watermark are less than BER values of caption watermark. Our results show that watermarked images in contourlet domain have greater robustness against attacks than wavelet domain. In addition, the qualitative analysis of our method shows it has good invisibility. CONCLUSIONS: The proposed contourlet-based watermarking algorithm in this paper uses an automatically selection for ROI and embeds the watermark in the singular values of contourlet subbands that makes the algorithm more efficient, and robust against noise attacks than other transform domains. The embedded watermark bits can be extracted without the original image, the proposed method has high PSNR and SSIM, and the watermarked image has high transparency and can still conform to the DICOM format.
format Online
Article
Text
id pubmed-3142237
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-31422372011-07-23 A dual adaptive watermarking scheme in contourlet domain for DICOM images Rahimi, Farhad Rabbani, Hossein Biomed Eng Online Research BACKGROUND: Nowadays, medical imaging equipments produce digital form of medical images. In a modern health care environment, new systems such as PACS (picture archiving and communication systems), use the digital form of medical image too. The digital form of medical images has lots of advantages over its analog form such as ease in storage and transmission. Medical images in digital form must be stored in a secured environment to preserve patient privacy. It is also important to detect modifications on the image. These objectives are obtained by watermarking in medical image. METHODS: In this paper, we present a dual and oblivious (blind) watermarking scheme in the contourlet domain. Because of importance of ROI (region of interest) in interpretation by medical doctors rather than RONI (region of non-interest), we propose an adaptive dual watermarking scheme with different embedding strength in ROI and RONI. We embed watermark bits in singular value vectors of the embedded blocks within lowpass subband in contourlet domain. RESULTS: The values of PSNR (peak signal-to-noise ratio) and SSIM (structural similarity measure) index of ROI for proposed DICOM (digital imaging and communications in medicine) images in this paper are respectively larger than 64 and 0.997. These values confirm that our algorithm has good transparency. Because of different embedding strength, BER (bit error rate) values of signature watermark are less than BER values of caption watermark. Our results show that watermarked images in contourlet domain have greater robustness against attacks than wavelet domain. In addition, the qualitative analysis of our method shows it has good invisibility. CONCLUSIONS: The proposed contourlet-based watermarking algorithm in this paper uses an automatically selection for ROI and embeds the watermark in the singular values of contourlet subbands that makes the algorithm more efficient, and robust against noise attacks than other transform domains. The embedded watermark bits can be extracted without the original image, the proposed method has high PSNR and SSIM, and the watermarked image has high transparency and can still conform to the DICOM format. BioMed Central 2011-06-17 /pmc/articles/PMC3142237/ /pubmed/21682862 http://dx.doi.org/10.1186/1475-925X-10-53 Text en Copyright ©2011 Rahimi and Rabbani; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Rahimi, Farhad
Rabbani, Hossein
A dual adaptive watermarking scheme in contourlet domain for DICOM images
title A dual adaptive watermarking scheme in contourlet domain for DICOM images
title_full A dual adaptive watermarking scheme in contourlet domain for DICOM images
title_fullStr A dual adaptive watermarking scheme in contourlet domain for DICOM images
title_full_unstemmed A dual adaptive watermarking scheme in contourlet domain for DICOM images
title_short A dual adaptive watermarking scheme in contourlet domain for DICOM images
title_sort dual adaptive watermarking scheme in contourlet domain for dicom images
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3142237/
https://www.ncbi.nlm.nih.gov/pubmed/21682862
http://dx.doi.org/10.1186/1475-925X-10-53
work_keys_str_mv AT rahimifarhad adualadaptivewatermarkingschemeincontourletdomainfordicomimages
AT rabbanihossein adualadaptivewatermarkingschemeincontourletdomainfordicomimages
AT rahimifarhad dualadaptivewatermarkingschemeincontourletdomainfordicomimages
AT rabbanihossein dualadaptivewatermarkingschemeincontourletdomainfordicomimages