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Watermarking Using Wavelet Transform and Genetic Algorithm for Realizing High Tolerance to Image Compression

机译:使用小波变换和遗传水印算法实现高公差的形象压缩

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摘要

Recently, several digital watermarking techniques have been proposed for hiding data in the frequency domain of image signals. However, little attention has been given to the optimal position in the frequency domain for embedding watermarks. We have attempted to improve the performance of both the extraction of watermarks and the quality on an image after compressed by JPEG technique by creating a multicriteria optimization problem for deciding the positions of watermarks in the frequency domain and obtaining an approximately optimum solution to this problem. The approximately optimum solution is obtained using the genetic algorithm. The experimental results show that the proposed method generates watermarked images of good quality and high tolerance to JPEG compression. In addition, the improvement of security has been achieved using the characteristic secret key to embed and extract watermark information. The reported method with the wavelet transforms is used to embed and extract watermark information.
机译:最近,一些数字水印技术提出了隐藏的数据吗频域的图像信号。人们却很少关注最优在频域嵌入的位置水印。水印的提取的性能和压缩后图像的质量JPEG方法通过创建一个多准则决定位置的优化问题在频域的水印获得一个近似最佳解这个问题。使用遗传算法获得。实验结果表明,提出的良好的方法生成有水印的图像质量和高耐JPEG压缩。此外,改进的安全通过使用秘密的关键特征嵌入和提取水印信息。报道与小波变换方法用于嵌入和提取水印信息。

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