Robust Image Watermarking Technique Using Contourlet Transform and Optimized Edge Detection Algorithm

Rajat Sharma, Nishtha Agarwal, Krittika Khanwalkar, Manasvee Singh, Dharmendra Kumar
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引用次数: 2

Abstract

In the direction of attaining greater robustness against various signal processing operations, this paper proposes a new image watermarking scheme in multiple transform domain. Firstly, the host image is decomposed using Discrete Wavelet Transform (DWT) and the lower frequency subband is obtained. This subband is further decomposed using two-level Coutourlet Transform(CT) wherein the first level approximate subband is used to evaluate the optimized modification parameters and the second level detail subband is used for watermark embedding. In counterpart of embedding, the watermark bits are extracted based on the guiding factor. Experimental results show higher robustness against various attacks without compromising the image quality.
基于Contourlet变换和优化边缘检测算法的鲁棒图像水印技术
为了提高对各种信号处理操作的鲁棒性,本文提出了一种新的多变换域图像水印方案。首先,利用离散小波变换(DWT)对主图像进行分解,得到低频子带;该子带采用两级库ourlet变换(CT)进一步分解,其中第一级近似子带用于评估优化后的修改参数,第二级细节子带用于水印嵌入。与嵌入相对应,基于引导因子提取水印位。实验结果表明,该方法在不影响图像质量的前提下,对各种攻击具有较高的鲁棒性。
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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