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Improved hybrid algorithm for robust and imperceptible multiple watermarking using digital images

机译:改进的混合算法,用于使用数字图像进行鲁棒和难以察觉的多重水印

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This paper presents a new robust hybrid multiple watermarking technique using fusion of discrete wavelet transforms (DWT), discrete cosine transforms (DCT), and singular value decomposition (SVD) instead of applying DWT, DCT and SVD individually or combination of DWT-SVD / DCT-SVD. For identity authentication purposes, multiple watermarks are embedded into the same medical image / multimedia objects simultaneously, which provides extra level of security with acceptable performance in terms of robustness and imperceptibility. In the embedding process, the cover image is decomposed into first level discrete wavelet transforms where the A (approximation/lower frequency sub-band) is transformed by DCT and SVD. The watermark image is also transformed by DWT, DCT and SVD. The S vector of watermark information is embedded in the S component of the cover image. The watermarked image is generated by inverse SVD on modified S vector and original U, V vectors followed by inverse DCT and inverse DWT. The watermark is extracted using an extraction algorithm. Furthermore, the text watermark is embedding at the second level of the D (diagonal sub-band) of the cover image. The security of the text watermark considered as EPR (Electronic Patient Record) data is enhanced by using encryption method before embedding into the cover. The results are obtained by varying the gain factor, size of the text watermark, and cover medical images. The method has been extensively tested and analyzed against known attacks and is found to be giving superior performance for robustness, capacity and reduced storage and bandwidth requirements compared to reported techniques suggested by other authors.
机译:本文提出了一种新的鲁棒混合多重水印技术,该技术使用离散小波变换(DWT),离散余弦变换(DCT)和奇异值分解(SVD)的融合,而不是单独应用DWT,DCT和SVD或将DWT-SVD / DCT-SVD。为了进行身份认证,将多个水印同时嵌入到同一医学图像/多媒体对象中,从而提供了更高级别的安全性,并且在健壮性和不可感知性方面具有可接受的性能。在嵌入过程中,将封面图像分解为第一级离散小波变换,在其中通过DCT和SVD对A(近似/低频子带)进行变换。水印图像也通过DWT,DCT和SVD进行转换。水印信息的S向量嵌入在封面图像的S分量中。带水印的图像是通过在修改的S向量和原始U,V向量上使用反SVD生成的,然后是反DCT和反DWT。使用提取算法来提取水印。此外,文本水印被嵌入在封面图像的D(对角子带)的第二级。嵌入水印之前,通过使用加密方法可以增强被视为EPR(电子病历)数据的文本水印的安全性。通过改变增益因子,文本水印的大小和覆盖医学图像来获得结果。该方法已针对已知攻击进行了广泛的测试和分析,与其他作者建议的报告技术相比,该方法在鲁棒性,容量,减少的存储和带宽需求方面具有出色的性能。

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