Proceedings ArticleDOI
High capacity, reversible data hiding in medical images
Mehdi Fallahpour,David Megías,Mohammed Ghanbari +2 more
- pp 4185-4188
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TLDR
A highly efficient reversible data hiding technique based on dividing the image into tiles and shifting the histograms of each image tile between its minimum and maximum frequency, which can result in 30%–200% capacity improvement with still better image quality, depending on the medical image content.Abstract:
In this paper we introduce a highly efficient reversible data hiding technique. 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 non-overlapping 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 in the whole image, our scheme can result in 30%–200% capacity improvement with still better image quality, depending on the medical image content.read more
Citations
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Journal ArticleDOI
A Review of Medical Image Watermarking Requirements for Teleradiology
TL;DR: The security requirements of medical images as well as expected threats in teleradiology are reviewed and justification for watermarking over conventional security measures is made in terms of their various objectives, properties, and requirements.
Journal ArticleDOI
An efficient prediction-and-shifting embedding technique for high quality reversible data hiding
TL;DR: A two-stage prediction algorithm that fully exploits the pixel correlations is employed to create more embeddable spaces, and a selective embedment mechanism is used to enhance the image quality.
Journal ArticleDOI
Reversible data hiding with automatic contrast enhancement for medical images
Guangyong Gao,Guangyong Gao,Guangyong Gao,Shikun Tong,Shikun Tong,Zhihua Xia,Zhihua Xia,Bin Wu,Liya Xu,Zhiqiang Zhao +9 more
TL;DR: Experimental results show that the marked medical images generate by the proposed RDHACEM algorithm have better visual quality and larger embedding capacity in the ROI than those generated by the up-to-date RDH methods.
Journal ArticleDOI
Biomedical Image Watermarking in Wavelet Domain for Data Integrity Using Bit Majority Algorithm and Multiple Copies of Hidden Information
TL;DR: Experimental results of the proposed watermarking technique show much enhancement in the visual and statistical invisibility of hidden information after data recovery that supports the improvement in performance.
Journal ArticleDOI
A Heuristic Automatic and Robust ROI Detection Method for Medical Image Warermarking
TL;DR: An automatic region of interest (ROI) segmentation method for application of watermarking in medical images that is robust against different attacks such as median, Wiener, Gaussian, and sharpening filters is presented.
References
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Journal ArticleDOI
Reversible data hiding
TL;DR: It is proved analytically and shown experimentally that the peak signal-to-noise ratio of the marked image generated by this method versus the original image is guaranteed to be above 48 dB, which is much higher than that of all reversible data hiding techniques reported in the literature.
Book ChapterDOI
Reversible data hiding
TL;DR: A theoretical proof and numerous experiments show that the PSNR of the marked image generated by this method is always above 48 dB, which is much higher than other reversible data hiding algorithms.
Proceedings ArticleDOI
A Review of Image Watermarking Applications in Healthcare
TL;DR: It is concluded that watermarking has found a niche role in healthcare systems, as an instrument for protection of medical information, for secure sharing and handling of medical images.
Journal ArticleDOI
Authenticity and integrity of digital mammography images
TL;DR: The authors' preliminary results demonstrate that AIDM is an effective method for image authenticity and integrity in telemammography application.
Proceedings ArticleDOI
Digital watermarking for ROI medical images by using compressed signature image
TL;DR: A digital watermarking method which avoids the distortion of the image data in ROI by embedding signature information into other area than theROI by dividing the contour of the ROI into several regions and embedding the signature information in the regions respectively.