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首页> 外文期刊>Journal of Medical Imaging and Health Informatics >Zero-Watermarking Algorithm for Medical Images Based on Dual-Tree Complex Wavelet Transform and Discrete Cosine Transform
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Zero-Watermarking Algorithm for Medical Images Based on Dual-Tree Complex Wavelet Transform and Discrete Cosine Transform

机译：基于双树复杂小波变换和离散余弦变换的医学图像零水印算法

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摘要

To solve security problems of medical images stored and transmitted in the cloud, by considering the special requirements of medical images protection for the lesion areas, a novel zero-watermarking algorithm for medical Images based on dual-tree complex wavelet transform and discrete cosine transform (DTCWT-DCT) is proposed. First of all, DTCWT is performed on medical images. Secondly, in the low-frequency coefficients of DTCWT, a visual feature vector of medical images against geometric attack is extracted. Then, combining with the concept of zero-watermarking, the watermark is encrypted by the logistic map. On this basis, the ordinary watermarking technology is combined with chaotic encryption, cryptography and third-party concept, thereby implementing the embedding and extraction of the watermark. Compared with other watermarking techniques, the proposed algorithm based on DTCWT-DCT does not need to artificially select the region of interest thus solving the rapid problem of watermark embedding. Furthermore, the embedded watermark is a zero-watermarking which does not make any changes to the original medical images. And the chaotic encryption processing is performed by Logistic Map, it can improve the security of the watermark. The simulation results show that the proposed algorithm can extract watermark information effectively and accurately with fast calculation speed and high precision, and it has strong robustness both against common attacks and geometric attacks. Especially in geometric attacks, the normalized correlation coefficients (NC) values remain high when the images change a lot.
机译：解决在云中存储和传输的医学图像的安全问题，通过考虑对病变区域的医学图像保护的特殊要求，基于双树复合小波变换和离散余弦变换的新型零水印算法。提出了DTCWT-DCT）。首先，DTCWT在医学图像上执行。其次，在DTCWT的低频系数中，提取对几何攻击的医学图像的视觉特征向量。然后，与零水印的概念相结合，水印由逻辑图加密。在此基础上，普通的水印技术与混沌加密，加密和第三方概念相结合，从而实现了水印的嵌入和提取。与其他水印技术相比，基于DTCWT-DCT的所提出的算法不需要人工选择感兴趣的区域，从而解决水印嵌入的快速问题。此外，嵌入式水印是一种零水印，其不会对原始医学图像进行任何改变。并且混沌加密处理由Logistic Map执行，它可以提高水印的安全性。仿真结果表明，该算法可以以快速计算速度和高精度有效且准确地提取水印信息，并且对抗常见攻击和几何攻击具有强大的鲁棒性。特别是在几何攻击中，当图像变化很多时，归一化相关系数（NC）值仍然很高。

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