一种基于点阵矢量量化的有效数据隐藏方法

K. Nallaperumal, R. Selvakumar, S. Radhakrishnan, K. Arulmozhi, J. Varghese, K. Krishnaveni
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引用次数: 1

摘要

本文提出了一种基于点阵矢量量化的鲁棒无关数据嵌入方案。嵌入是在DCT域中完成的。对签名图像进行矢量量化,得到的索引用纠错码(BCH码)编码。将得到的码字乘以一个比例因子,并将其摄动到格向量量化的主图像的DCT系数中。不同主图像下水印图像的峰值信噪比(PSNR)和不同比例因子值下恢复签名图像的峰值信噪比实验结果验证了该方法的有效性
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An efficient approach to data hiding based on lattice vector quantization
This paper describes a robust, oblivious data embedding scheme which uses lattice vector quantization. The embedding is done in the DCT domain. The signature image is vector quantized and the indices obtained are coded using error-correcting codes (BCH codes). The codewords obtained are multiplied by a scaling factor and perturbed into the DCT coefficients of the host image which is lattice vector quantized. Experimental results of the peak signal to noise ratio (PSNR) of the watermarked image for different host images and the PSNR of the recovered signature image for different values of scaling factors stand a testimony for the validity of this method
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