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An Improved Watermarking Algorithm Robust to Camcorder Recording Based on DT-CWT

机译:基于DT-CWT的摄录机鲁棒水印改进算法

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To reduce blocking effects in dark and smooth regions, to improve the correct rate of the extracted watermark sequence when frame dropping happens and the video has lots of short shots for existing single-shot watermarking algorithm, and to block against camcorder recording. The watermark sequence is first divided into different subsequences in this paper. By combining the Watson vision model based on Antonini9-7 Wavelet transform and Adaptive embedding intensity coefficient, the watermark subsequence is embedded into the 4th level DT-CWT (Dual Tree Complex Wavelet Transform) low frequency component of the whole frame. To improve the correct rate of the extracted watermark sequence, we use the luminance trend of Y component to extract the time synchronization subsequence and watermark subsequence, and use the maximum election statistics to restore the watermark. Experimental results show that the proposed algorithm can reduce blocking effects, improve the correct rate of the extracted watermark sequence, and is also robust to camcorder recording.
机译:为了减少在黑暗和平滑区域中的阻塞效果,当出现丢帧现象并且视频中有很多用于现有单次水印算法的短镜头时,要提高提取的水印序列的正确率,并阻止摄录机的录制。本文首先将水印序列分为不同的子序列。通过结合基于Antonini9-7小波变换的Watson视觉模型和自适应嵌入强度系数,将水印子序列嵌入到整个帧的第4级DT-CWT(双树复数小波变换)低频分量中。为了提高提取的水印序列的正确率,我们使用Y分量的亮度趋势来提取时间同步子序列和水印子序列,并使用最大选举统计量还原水印。实验结果表明,该算法可以减少阻塞效应,提高提取水印序列的正确率,并且对摄录机具有鲁棒性。

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