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Exploring DWT-SVD-DCT feature parameters for robust multiple watermarking against JPEG and JPEG2000 compression

机译:探索DWT-SVD-DCT功能参数,以实现针对JPEG和JPEG2000压缩的强大的多重水印

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This paper presents a novel scheme to implement blind image watermarking based on the feature parameters extracted from a composite domain including the discrete wavelet transform (DWT), singular value decomposition (SVD), and discrete cosine transform (DCT). Multiple bits can be embedded into a single image block by adjusting designated parameters via a progressive quantization index modulation technique. The quantization with respect to the feature parameters obtained in the DWT-SVD-DCT domain leads to efficient watermark extraction without referring to the original image. Experimental results show that the embedded watermarks exhibit exceptional robustness against image compression using JPEG and JPEG2000 coding standards. (C) 2014 Elsevier Ltd. All rights reserved.
机译:本文提出了一种新的方案,该方案基于从包括离散小波变换(DWT),奇异值分解(SVD)和离散余弦变换(DCT)的复合域中提取的特征参数来实现盲图像水印。通过逐行量化索引调制技术调整指定参数,可以将多个位嵌入到单个图像块中。关于在DWT-SVD-DCT域中获得的特征参数的量化导致有效的水印提取,而无需参考原始图像。实验结果表明,嵌入的水印对使用JPEG和JPEG2000编码标准的图像压缩具有出色的鲁棒性。 (C)2014 Elsevier Ltd.保留所有权利。

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