Image Watermarking Algorithm Based on q-logarithm Component

Piyanart Chotikawanid, T. Amornraksa
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Abstract

A new embedding component for image watermarking in the spatial domain is presented in this paper as a solution to copyright protection and to verify the real owner of digital image. The embedding component called q-logarithm is extracted from a host color image, and is used directly to embed watermark information. In the extraction process of the embedded watermark, the original version of non-watermarked component is first estimated from the average value of watermarked components in a small image area, so that the blind watermark extraction can be achieved. The watermarked image’s quality is assessed by weight Peak Signal to Noise Ratio (wPSNR), and the extracted watermark’s accuracy is assessed by Bit Correction Error (BCR). Investigations for optimal parameters are carried out to obtain q value that gives the most accurate extracted watermark. In the experiments, the performance of the proposed method is compared to the relevant three previous methods. A well-known benchmark called Stirmark is also used to assess the robustness of the embedded watermark. It is shown accordingly that the proposed method can achieve better performance in terms of accuracy and robustness even under attacks.
基于q-对数分量的图像水印算法
本文提出了一种新的空间域图像水印嵌入组件,以解决版权保护和数字图像真实所有者的验证问题。嵌入分量q-对数从主彩色图像中提取,并直接用于嵌入水印信息。在嵌入水印的提取过程中,首先从小图像区域内的水印分量的平均值估计出原始版本的非水印分量,从而实现盲水印提取。采用加权峰值信噪比(wPSNR)评价水印图像的质量,采用比特校正误差(BCR)评价水印图像的精度。为了获得最准确提取水印的q值,对最优参数进行了研究。在实验中,将该方法的性能与之前的三种方法进行了比较。一个著名的基准Stirmark也被用来评估嵌入水印的鲁棒性。结果表明,即使在攻击情况下,该方法在精度和鲁棒性方面也能取得较好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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