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首页> 外文期刊>Arabian Journal for Science and Engineering >Robust Reversible Watermarking Algorithm Based on RIWT and Compressed Sensing
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Robust Reversible Watermarking Algorithm Based on RIWT and Compressed Sensing

机译：基于RIWT和压缩感知的鲁棒可逆水印算法

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摘要

In order to improve the robustness of existing reversible watermarking algorithms and strengthen the imperceptibility of watermarked images, a robust reversible watermarking algorithm based on redundant integer wavelet transform and compressed sensing is proposed. Firstly, the algorithm selects the high capacity embedding regions in the original image and then redundant integer wavelet transform is conducted within the selected areas, and wavelet coefficients matrices are obtained after the sparse. After that, the two intermediate-frequency parts of each wavelet coefficient matrix are conducted by compressed sensing with the same observation matrix, and the two generated compressed observation values are merged. Finally, the watermark is embedded into the observation value of intermediate-frequency coefficient part, to recover the sparse signal by using the reconstruction algorithm, and then the watermarked image is obtained through the redundant integer wavelet inverse transform. Simulation results indicate that the algorithm can not only realize blind extraction, but also significantly improve robustness, imperceptibility and embedded watermark capacity compared with other similar algorithms. It is easy to implement. What's more, the generated watermarked images have high quality and can completely lossless restore the original carrier image without any attacks.
机译：为了提高现有可逆水印算法的鲁棒性，增强水印图像的不可见性，提出了一种基于冗余整数小波变换和压缩感知的鲁棒可逆水印算法。该算法首先在原始图像中选择高容量的嵌入区域，然后在所选区域内进行冗余整数小波变换，在稀疏后获得小波系数矩阵。此后，每个小波系数矩阵的两个中频部分通过使用相同观察矩阵的压缩感测进行，并且将两个生成的压缩观察值合并。最后，将水印嵌入到中频系数部分的观测值中，利用重构算法恢复稀疏信号，然后通过冗余整数小波逆变换获得水印图像。仿真结果表明，与其他同类算法相比，该算法不仅可以实现盲提取，而且可以显着提高鲁棒性，不易感知性和嵌入水印容量。易于实现。而且，生成的带水印的图像质量很高，可以完全无损地恢复原始载波图像，而不会受到任何攻击。

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