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: Embedding Electronic Patient Record (EPR) in Medical images and Secret Military Message (SMM) in Military images are two similar applications of datahiding in images. Telemedicine and Teleradiology systems are able to avail many advantages of EPR data hiding in medical images. In this paper, a new method of ASCII text datahiding in the least significant digits of image pixel values is proposed. This investigation mainly focuses on enhancing the capacity of datahiding in medical images. Hiding capacity is very important in the case of datahiding in medical images. Achieving high values for the capacity is a challenge because, image quality decreases with the capacity, leading to a trade off between the two. Experimental results show that this scheme outperforms previous methods in terms of data embedding capacity.
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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.
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