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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    • "Here, the watermark was processed as an input to the hash function. Raúl et al. [10] proposed a pixel based watermarking embedding scheme using spiral scan. Coatrieux et al. [11] have identified three different schemes to watermark a medical image: "
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    ABSTRACT: Exchanging of medical data requires efficient authentication and protection of medical data that can be illegally modified. Watermarking plays an important role in protecting, sharing, and securing medical data. In this work, a robust nonblind medical image watermarking scheme is proposed. The process involves two steps: the embedding and the extraction phase. During the embedding phase, l-level FRWPT is performed on the host image and the watermark is embedded into the modified reference image. In the second phase, inverse FRWPT is performed on the watermarked image to extract the watermark from the watermarked image. The proposed scheme is tested on mammograms images and is subjected to common attacks like Gaussian filtering, median filtering, compression, sharpening, and contrast adjustments. Experimental results show that the proposed scheme is robust.
    Full-text · Article · Nov 2015 · International Journal of Telemedicine and Applications
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    • "Giakoumaki et al. propose a wavelet based algorithm that embeds multiple watermarks into medical images in order to help in the authentication of doctor's digital signature and in the integrity control of the data [8]. Khamlichi et al. present a combined technique for embedding the patient data record directly into mammography images for tamper detection [9]. "
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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.
    Full-text · Article · Aug 2013 · International Journal of Computer Applications
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    • "Raul et al. [11] proposes watermarking scheme that combines data compression, encryption and watermarking techniques and image moment theory applied to radiological medical images. He uses the DTCOM (Digital Imaging and Communications in Medicine) file contains a header (which stores information about the patient's name, the type of scan, image dimension, etc.) as a watermark to be embedded in medical images extracted from the DICOM file. "
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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.
    Full-text · Conference Paper · Jan 2013
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