一种用于小波变换域基于奇异值分解的图像盲水印的渐进式QIM

Hwai-Tsu Hu, Yu-Jung Chang, Szu-Hong Chen
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引用次数: 9

摘要

为了配合基于奇异值分解的DWT域水印方案,提出了一种新的渐进式QIM技术。量化步长的递进结构不仅允许利用人类的视觉特征,而且提供了地面亮度水平的线索。在进行水印提取之前,采用粒子群优化方法对地面进行识别。实验结果表明,与其他基于奇异值分解的方法相比,该方法具有更好的鲁棒性。该方案具有较强的地面识别能力,能够抵御水平偏移攻击。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A progressive QIM to cope with SVD-based blind image watermarking in DWT domain
A novel progressive QIM technique is developed to cooperate with the SVD-based watermarking scheme in the DWT domain. The progressive structure in quantization step sizes not only allows the exploitation of human visual characteristics but provides the clues of the ground level of brightness. A particle swarm optimization method is adopted to identify the ground level prior to performing watermark extraction. The experimental results show that the proposed scheme renders better robustness in comparison with other SVD-based methods. With the capability of the ground level identification, this scheme can also survive the level shift attacks.
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