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PERFORMANCE EVALUATION OF KEY FOR WATERMARKING USING 2-D WAVELET TRANSFORMATIONS

机译:使用2-D小波变换水印键的性能评估

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The digital watermark technology is now drawing attention as a useful method of protecting copyrights of digital contents such as audio, image, and video. Especially, efficient image watermarking methods have been developed in the DWT (discrete wavelet transform) domain. With the rapid development of ecommerce and internet technology, the applications of multimedia products (image, video and audio, etc.) are widely spread. Meanwhile the issue on the security of the copyright has been receiving more and more attention recently. Watermarking technology is an effective way to protect digital multimedia products by embedding a watermark into the target product to prove the owners right on the product. In this paper, the digital watermarking algorithm is explained. This algorithm uses images and different types of noise are also added. The PSNR for each image is used to measure the efficacy of the algorithm. This objective measure is also used to determine the influence of the better type of noise. In summary, the results support the concept that the simpler wavelet transforms and add noise to a signal. , e.g. the Haar wavelet and add white Gaussian noise to a signal. Consistently outperform the more complex ones when using a watermark.
机译:数字水印技术现正作为保护数字内容版权的有用方法,如音频,图像和视频。特别地,已经在DWT(离散小波变换)域中开发了有效的图像水印方法。随着电子商务和互联网技术的快速发展,多媒体产品(图像,视频和音频等)的应用广泛传播。同时,版权安全问题最近一直受到越来越多的关注。水印技术是通过将水印嵌入目标产品来保护数字多媒体产品的有效方法,以证明产品上的所有者。在本文中,解释了数字水印算法。该算法使用图像和不同类型的噪声。每个图像的PSNR用于测量算法的功效。该目标措施还用于确定更好类型的噪声的影响。总之,结果支持更简单的小波变换和向信号添加噪声的概念。 ,例如, HAAR小波并向信号添加白色高斯噪声。使用水印时,始终如一地优于更复杂的。

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