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A Novel Optimized Watermark Embedding Scheme for Digital Images

机译:一种新颖的数字图像优化水印嵌入方案

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Many Scientists in Image Processing try to find an efficient way for digital multimedia protection. Although standards and criteria are still in developing, the watermarking which performs mark picture embedding and extraction with original image has been identified as major technology to achieve ownership and copyright protection. This paper is aim to find a more efficient way to embedding watermark into a gray-scale original image using a new algorithm - Artificial Bee Colony to optimize pixel by pixel embedding at different frequency levels (sub-band) with Discrete Wavelet Transform (DWT) Technology in order to enhance the security, invisibility to human visual and robustness of image watermarking. The proposed scheme will take efforts in higher level of DWT decomposition which provide better robustness but low quality of watermarked image and perform better quality of watermarked image and visible watermark compare to random embedding. The proposed new embedding method has been tested against most types of image modifications and in different frequency domain and levels of DWT to provide both high quality watermarked images and superior robustness.
机译:许多图像处理科学家试图寻找一种有效的数字多媒体保护方法。尽管标准和标准仍在制定中,但已将执行带有原始图像的标记图片嵌入和提取的水印技术标识为实现所有权和版权保护的主要技术。本文旨在寻找一种使用新算法-人工蜂群(ABC)的水印方法将水印嵌入灰度原始图像中的更有效方法,该算法通过离散小波变换(DWT)在不同频率级别(子带)上逐像素地优化像素嵌入为了增强安全性,对人类视觉的不可见性和图像水印的鲁棒性的技术。所提出的方案将在更高水平的DWT分解上做出努力,与随机嵌入相比,DWT分解提供了更好的鲁棒性,但是水印图像的质量较低,并且水印图像和可见水印的质量更好。已针对大多数类型的图像修改以及在不同频域和DWT级别上对提出的新嵌入方法进行了测试,以提供高质量的水印图像和出色的鲁棒性。

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