Wavelet based watermarking approach of hiding patient information in medical image for medical image authentication

M. Moniruzzaman, Md Abul Kayum Hawlader, Md. Foisal Hossain
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引用次数: 24

Abstract

Watermarking scheme is required to secure data to protect digital contents from unauthorized modifications. Image watermarking scheme can effectively be used in medical image processing to authenticate or investigate the integrity on medical images. In this paper, discrete wavelet transform (DWT) domain and chaotic system based medical image watermarking scheme has been proposed for hiding patient information in medical image to authenticate, in other words, to trace the origin of the image. The patient information has been embedded into the medical images as watermark, without affecting the image quality. DWT has been applied to the host medical image to decompose the image into four sub-bands of low and high frequency components. Chaotic system shows complex behavior and improves the security level of watermarking scheme by providing secret keys. In this paper, logistic map has been used through which chaotic watermark has been obtained, which has been embedded into the low frequency sub-band of medical image. The low frequency sub-band has been divided into 3×3 non overlapping blocks. The chaotic watermark has been embedded into each block by observing neighbor pixels conditions and modifying one of neighbor pixels. Experimental results of the proposed method have been compared with other existing medical image watermarking scheme. From the experimental results, it can be seen that the proposed watermarking scheme outperforms the existing methods. The proposed method achieves high values of peak signal to noise ratio (PSNR) of watermarked image and high values of normalized correlation (NC) of the extracted watermark.
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基于小波水印的医学图像患者信息隐藏方法用于医学图像认证
需要采用水印方案来保护数据,以保护数字内容不受未经授权的修改。图像水印可以有效地应用于医学图像处理中,对医学图像的完整性进行验证或调查。本文提出了一种基于离散小波变换(DWT)域和混沌系统的医学图像水印方案,用于隐藏医学图像中的患者信息,实现图像的身份验证,即图像的溯源。在不影响图像质量的前提下,将患者信息作为水印嵌入到医学图像中。将小波变换应用于宿主医学图像,将图像分解为低频和高频分量的四个子带。混沌系统表现出复杂的行为,并通过提供密钥提高了水印方案的安全性。本文采用logistic映射的方法得到混沌水印,并将混沌水印嵌入到医学图像的低频子带中。低频子带被划分为3×3不重叠的块。通过观察相邻像素的情况并修改其中一个相邻像素,将混沌水印嵌入到每个块中。实验结果与现有的医学图像水印算法进行了比较。从实验结果可以看出,所提出的水印方案优于现有的水印方法。该方法实现了水印图像的高峰值信噪比(PSNR)值和提取的高归一化相关(NC)值。
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