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Visual Quality Assessment of Watermarked Medical Images

机译:带水印的医学图像的视觉质量评估

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摘要

Increasing transmission of medical images across multiple user systems raises concerns for image security. Hiding watermark information in medical image data files is one solution for enhancing security and privacy protection of data. Medical image watermarking however is not a widely studied area, due partially to speculations on loss in viewer performance caused by degradation of image information. Such concerns are addressed if the amount of information lost due to watermarking can be kept at minimal levels and below visual perception thresholds. This paper describes experiments where three alternative visual quality metrics were used to assess the degradation caused by watermarking medical images. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) medical images were watermarked using different methods: Block based Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) with various embedding strengths. The visual degradation of each watermarking parameter setting was assessed using Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Measure (SSIM) and Steerable Visual Difference Predictor (SVDP) numerical metrics. The suitability of each of the three numerical metrics for medical image watermarking visual quality assessment is noted. In addition, subjective test results from human observers are used to suggest visual degradation thresholds.
机译:医学图像在多个用户系统之间的越来越多的传输引起了对图像安全性的关注。在医学图像数据文件中隐藏水印信息是一种用于增强数据安全性和隐私保护的解决方案。但是,医学图像水印技术并不是一个广泛研究的领域,部分原因是由于人们对图像信息质量下降导致观看者性能下降的推测。如果可以将由于加水印而丢失的信息量保持在最低水平并低于视觉感知阈值,则可以解决此类问题。本文介绍了使用三种替代视觉质量指标评估由水印医学图像引起的质量下降的实验。使用不同的方法对磁共振成像(MRI)和计算机断层摄影(CT)医学图像加水印:具有各种嵌入强度的基于块的离散余弦变换(DCT)和离散小波变换(DWT)。使用峰值信噪比(PSNR),结构相似性度量(SSIM)和可操纵视觉差异预测器(SVDP)数值指标评估每个水印参数设置的视觉质量。指出了三个数值指标中的每个指标对于医学图像水印视觉质量评估的适用性。另外,人类观察者的主观测试结果被用于建议视觉退化阈值。

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