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Image adaptive watermarking using wavelet domain singular value decomposition

机译:小波域奇异值分解的图像自适应水印

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摘要

In this letter, we propose a novel, yet simple, image-adaptive watermarking scheme for image authentication by applying a simple quantization-index-modulation process on wavelet domain singular value decomposition. Unlike the traditional wavelet-based watermarking schemes where the watermark bits are embedded directly on the wavelet coefficients, the proposed scheme is based on bit embedding on the singular value (luminance) of the blocks within wavelet subband of the original image. To improve the fidelity and the perceptual quality of the watermarked image and to enhance the security of watermarking, we model the adaptive quantization parameters based on the statistics of blocks within subbands. The scheme is robust against JPEG compression but extremely sensitive to malicious manipulation such as filtering and random noising. Watermark detection is efficient and blind in the sense only the quantization parameters but not the original image are required. The quantization parameters adaptive to blocks are vector quantized to reduce the watermarking overhead.
机译:在这封信中,我们通过在小波域奇异值分解上应用简单的量化指标调制过程,提出了一种新颖但简单的图像自适应水印方案,用于图像认证。与传统的基于小波的水印方案不同,在传统的基于小波的水印方案中,水印位直接嵌入在小波系数上,所提出的方案基于位嵌入在原始图像的小波子带内的块的奇异值(亮度)上。为了提高水印图像的保真度和感知质量并增强水印的安全性,我们基于子带内块的统计量对自适应量化参数进行建模。该方案可抵抗JPEG压缩,但对诸如过滤和随机噪声之类的恶意操作极为敏感。水印检测是高效且盲目的,仅要求量化参数而不需要原始图像。对适于块的量化参数进行矢量量化以减少水印开销。

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