压缩感知图像水印正交匹配追踪

Irma Safitri, L. Novamizanti, A. S. Laksono
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引用次数: 0

摘要

在互联网上获取数字数据的便利使得盗版更加猖獗,尤其是在多媒体行业的版权和所有权方面。因此,我们需要一个系统来保障数据所有权的版权。水印是克服盗版的一种解决方案。水印允许嵌入的机密信息被其他方解决。本文讨论了采用离散小波变换(DWT)方法将主图像分解为嵌入水印的图像,在插入过程中采用扩频(SS)方法在主图像上扩散水印位,并采用压缩感知(CS)方法提高水印技术的效率,从而提高水印过程的容量和可感知性。重建过程采用正交匹配追踪法(OMP)。结果表明,在最佳子带中嵌入了主图像的水印。测试结果表明,该系统的PSNR值为71.2 dB, MSE接近于0,BER为0.0001068。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compressive Sensing Image Watermarking Orthogonal Matching Pursuit
Ease of access to digital data on the internet makes piracy more rampant, especially of copyright and ownership in the multimedia industry. Therefore, we need a system to secure the copyright of data ownership. Watermarking is one solution to overcome piracy that occurs. Watermarking allows the embedded confidential information to be solved by other parties. This study discusses image watermarking using discrete wavelet transform (DWT) method to decompose the host image as an image where the watermark is embedded, the spread spectrum (SS) method used in the insertion process by spreading watermark bits on the host image and compressive sensing (CS) which is used to increase the efficiency of the watermark technique to increase the capacity and perceptibility of the watermarking process. The reconstruction process was carried out using orthogonal matching pursuit (OMP). The result is that the host image has a watermark embedded in the best sub-band. The test results showed the performance of the PSNR value was 71.2 dB, MSE was close to 0 and BER was 0.0001068.
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