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Real-time Stereo Image Watermarking using Discrete Cosine Transform and Adaptive Disparity Maps

机译:使用离散余弦变换和自适应差异图的实时立体图像水印

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In this paper, a real-time stereo image watermarking scheme using discrete cosine transform(DCT) and disparity map is proposed. That is, a watermark image is embedded into the right image of a stereo image pair in the frequency domain through the conventional DCT operation and disparity information between the watermarked right image and the left image is extracted. And then, the disparity data and the left image are simultaneously transmitted to the recipient through the communication channel. At the receiver, the watermarked right image is reconstructed from the received left image and disparity data through the adaptive matching algorithm and a watermark image is finally extracted from this reconstructed right image through the decoding algorithm. From some experiments by using the stereo image pair captured by the CCD camera and a watermark image of English alphabet 'NRL', it is found that the PSNR of the reconstructed right image through the DCT and adaptive matching algorithm improves to 9.3dB by comparing with those of the reconstructed right images through the conventional pixel-based and block-based matching algorithms. At the same time the PSNR of the watermark image extracted from the reconstructed right image also improve to 7.72dB by comparing with those of the others. These experimental results suggest a possibility of practical implementation of a disparity map-based stereo image watermarking scheme.
机译:在本文中,利用离散余弦实时立体图像水印方案变换(DCT)和视差图提出。即,水印图像通过水印右图像和左图像被提取之间的常规DCT运算和视差信息嵌入到在频域中的立体图像对的右侧图像。然后,视差数据和左图像被同时发送到通过通信信道的接收者。在接收机处,加有水印的右图像从所接收的左图像和视差数据通过自适应匹配算法来重建和水印图像最终从通过解码算法这个重构的右图像提取。从一些实验中,通过使用由CCD照相机和英文字母“NRL”的水印图像捕获的立体图像对,可以发现,通过该DCT处理和自适应匹配算法重建右图像的PSNR通过与比较提高到9.3分贝这些重构的右图像的通过传统的基于块的基于像素的和匹配算法。同时,从提取的水印图像的PSNR重建正确的图像也与他人的比较提高7.72分贝。这些实验结果表明实际执行基于地图的差距立体图像水印方案的可能性。

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