UMIT, SNDT University, Mumbai, Maharashtra, India.
AGV Systems Pvt. Ltd. India, Mumbai, Maharashtra, India.
J Healthc Eng. 2017;2017:3538979. doi: 10.1155/2017/3538979. Epub 2017 Sep 26.
In telemedicine systems, critical medical data is shared on a public communication channel. This increases the risk of unauthorised access to patient's information. This underlines the importance of secrecy and authentication for the medical data. This paper presents two innovative variations of classical histogram shift methods to increase the hiding capacity. The first technique divides the image into nonoverlapping blocks and embeds the watermark individually using the histogram method. The second method separates the region of interest and embeds the watermark only in the region of noninterest. This approach preserves the medical information intact. This method finds its use in critical medical cases. The high PSNR (above 45 dB) obtained for both techniques indicates imperceptibility of the approaches. Experimental results illustrate superiority of the proposed approaches when compared with other methods based on histogram shifting techniques. These techniques improve embedding capacity by 5-15% depending on the image type, without affecting the quality of the watermarked image. Both techniques also enable lossless reconstruction of the watermark and the host medical image. A higher embedding capacity makes the proposed approaches attractive for medical image watermarking applications without compromising the quality of the image.
在远程医疗系统中，关键医疗数据通过公共通信信道共享。这增加了患者信息被未经授权访问的风险。这凸显了医疗数据保密性和认证的重要性。本文提出了两种经典直方图移位方法的创新变体，以提高隐藏容量。第一种技术将图像分成不重叠的块，并使用直方图方法单独嵌入水印。第二种方法将感兴趣区域和仅嵌入非感兴趣区域分开。这种方法可以完整地保留医疗信息。该方法在关键医疗案例中得到了应用。两种技术都获得了高于 45dB 的高 PSNR，表明这些方法具有不可感知性。实验结果表明，与基于直方图移位技术的其他方法相比，所提出的方法具有优越性。这些技术可以根据图像类型将嵌入容量提高 5-15%，而不会影响水印图像的质量。两种技术还可以无损重建水印和原始医疗图像。更高的嵌入容量使得所提出的方法在不影响图像质量的情况下，对医疗图像水印应用具有吸引力。
