Conference Paper

Data Hiding Scheme for Medical Images

Nat. Inst. for Astrophys., Opt. & Electron., Mexico City
DOI: 10.1109/CONIELECOMP.2007.14 Conference: Proceedings of the 17th International Conference on Electronics, Communications and Computers

ABSTRACT Digital image watermarking has been proposed as a method to enhance medical data security, confidentiality and integrity. Medical image watermarking requires extreme care when embedding additional data within the medical images because the additional information must not affect the image quality. Many of the exploration systems used for medical diagnosis are based on the medical study images. CR, MR and CT, obtain images that can be stored in digital formats such as (DICOM files) which are related with data of patients and information about the study. In this paper we present a watermarking scheme that combines data compression, encryption and watermarking techniques and image moment theory applied to radiological medical images. In this work we use DICOM data as a watermark to embed in medical images. Image quality is measured with metrics which are used in image processing such as PSNR and MSE. Our results show good accuracy in the watermark extraction process.

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    ABSTRACT: This paper proposes a blind watermarking algorithm for transferring medical data securely over the public network. A text watermark is embedded into (YCBCR) color channels of each medical video frame using Discrete Wavelet Transform and Principle Component Analysis. In our experiments, the watermark includes the electronic records for patients with three different sizes. Experimental results show high imperceptibility and robustness against attacks. The maximum PSNR achieved by the proposed technique is 61 dB while the least is 45 dB. The maximum number of characters embedded in the medical video frame is 146 characters.
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    ABSTRACT: Medical image data hiding has strict constrains such as high imperceptibility, high capacity and high robustness. Achieving these three requirements simultaneously is highly cumbersome. Some works have been reported in the literature on data hiding, watermarking and stegnography which are suitable for telemedicine applications. None is reliable in all aspects. Electronic Patient Report (EPR) data hiding for telemedicine demand it blind and reversible. This paper proposes a novel approach to blind reversible data hiding based on integer wavelet transform. Experimental results shows that this scheme outperforms the prior arts in terms of zero BER (Bit Error Rate), higher PSNR (Peak Signal to Noise Ratio), and large EPR data embedding capacity with WPSNR (Weighted Peak Signal to Noise Ratio) around 53 dB, compared with the existing reversible data hiding schemes. requirements of data hiding are imperceptibility, capacity and robustness. The property of imperceptibility restricts that the overall statistics of the cover image should not reveal that the data is embedded. Robustness refers to resistance to distortion introduced during either normal use or deliberate attempt to disable or remove the data present. Image data hiding capacity is an estimate of how much information can be hidden within a digital image. In this paper, a novel blind reversible data hiding for the application of telemedicine using integer wavelet transform is proposed. The algorithm organizes wavelet coefficients to generate wavelet blocks, and applies a novel method to classify these wavelet blocks based on human visual system (HVS). The EPR data are inserted based on the result of classification. The portions of an image which contains the significant information for diagnosis are called Region of Interest (ROI) and must be stored without distortion. This concept is implemented in the newly proposed method. It is desirable to embed data outside ROI to give better protection.
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    ABSTRACT: This paper presents a blind watermarking algorithm for medical images and medical video frames based on Principle Component Analysis (PCA) and Digital Wavelet Transform (DWT). Quantization Index Modulation (QIM) is used as a method for blindness of our scheme. Different types of medical video frames are used in the evaluation process such as MRI, CT, Ultrasound and X-Rays. Experimental results show high imperceptibility where there is no noticeable difference between the watermarked video frames and the original frames (PSNR ;:::; 51 dB). By varying the watermark size, high capacity watermark is achieved without affecting the quality of the medical frame. The performance of the proposed scheme is investigated when varying the impact factor and the compression rate. Simulation results indicate that the proposed algorithm achieves high robustness against compression and higher watermark capacity.
    Radio Science Conference (NRSC), 2013 30th National; 01/2013


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