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

机译:在医学图像中隐藏患者信息以进行医学图像认证的基于小波的水印方法

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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.
机译:需要使用水印方案来保护数据,以保护数字内容免遭未经授权的修改。图像水印方案可以有效地用于医学图像处理中,以认证或调查医学图像的完整性。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,用于在医学图像中隐藏患者信息以进行身份​​验证,换句话说,可以追踪图像的起源。患者信息已作为水印嵌入到医学图像中,而不会影响图像质量。 DWT已应用于宿主医学图像,以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,并通过提供秘密密钥来提高水印方案的安全级别。在本文中,使用了逻辑映射图,通过该逻辑映射图获得了混沌水印,该逻辑图已嵌入到医学图像的低频子带中。低频子带已被划分为3×3个非重叠块。通过观察相邻像素条件并修改相邻像素之一,将混沌水印嵌入到每个块中。将该方法的实验结果与其他现有医学图像水印方案进行了比较。从实验结果可以看出,提出的水印方案优于现有方法。所提出的方法实现了水印图像的峰值信噪比(PSNR)的高值和提取水印的归一化相关性(NC)的高值。

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