Al-Haj Ali, Amer Alaa'
Department of Computer Engineering, King Abdullah II Faculty of Engineering, Princess Sumaya University for Technology, Al-Jubeiha, PO Box 1438, Amman, 11941, Jordan,
J Digit Imaging. 2014 Dec;27(6):737-50. doi: 10.1007/s10278-014-9709-9.
Medical images exchanged over public networks require a methodology to provide confidentiality for the image, authenticity of the image ownership and source of origin, and image integrity verification. To provide these three security requirements, we propose in this paper a region-based algorithm based on multiple watermarking in the frequency and spatial domains. Confidentiality and authenticity are provided by embedding robust watermarks in the region-of-non-interest (RONI) of the image using a blind scheme in the discrete wavelet transform and singular value decomposition domain (DWT-SVD). On the other hand, integrity is provided by embedding local fragile watermarks in the region-of-interest (ROI) of the image using a reversible scheme in the spatial domain. The integrity provided by the proposed algorithm is implemented on a block-level of the partitioned-image, thus enabling localized detection of tampered regions. The algorithm was evaluated with respect to imperceptibility, robustness, capacity, and tamper localization capability, using MRI, Ultrasound, and X-ray gray-scale medical images. Performance results demonstrate the effectiveness of the proposed algorithm in providing the required security services for telemedicine applications.
通过公共网络交换的医学图像需要一种方法来为图像提供保密性、图像所有权和来源的真实性以及图像完整性验证。为了满足这三项安全要求,我们在本文中提出了一种基于频率和空间域多重水印的区域算法。通过在离散小波变换和奇异值分解域(DWT-SVD)中使用盲方案在图像的非感兴趣区域(RONI)嵌入鲁棒水印来提供保密性和真实性。另一方面,通过在空间域中使用可逆方案在图像的感兴趣区域(ROI)嵌入局部脆弱水印来提供完整性。所提出算法提供的完整性是在分割图像的块级别上实现的,从而能够对篡改区域进行局部检测。使用MRI、超声和X射线灰度医学图像,对该算法在不可感知性、鲁棒性、容量和篡改定位能力方面进行了评估。性能结果证明了所提出算法在为远程医疗应用提供所需安全服务方面的有效性。