首页> 外文会议>Conference on Multimedia Systems and Applications VI; Sep 8-9, 2003; Orlando, Florida, USA >Real-time Stereo Image Watermarking using Discrete Cosine Transform and Adaptive Disparity Maps
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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视差图的实时立体图像水印

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摘要

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:提出了一种基于离散余弦变换(DCT)和视差图的实时立体图像水印方案。即,通过常规的DCT操作,将水印图像在频域中嵌入到立体图像对的右图像中,并提取出带水印的右图像和左图像之间的视差信息。然后,视差数据和左图像通过通信信道同时发送到接收者。在接收机处,通过自适应匹配算法从接收到的左图像和视差数据中重建加水印的右图像,并且最终通过解码算法从该重建的右图像中提取水印图像。通过使用CCD摄像机捕获的立体图像对和英文字母'NRL'的水印图像进行的一些实验发现,通过与DCT和自适应匹配算法相比较,重构后的右图像的PSNR可以提高到9.3dB。通过常规的基于像素和基于块的匹配算法来重建右图像。同时,与其他图像相比,从重构后的右图像中提取的水印图像的PSNR也提高到7.72dB。这些实验结果表明了实际实施基于视差图的立体图像水印方案的可能性。

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