DCT域下采样视频水印技术

根据DCT域Watson模型提出了一种抵抗下采样攻击的不可感知水印模型.用DCT域准卷积下采样方法得到图像的下采样版本,利用亮度特征和图像感知失真限制自适应确定被嵌入水印序列的区域、长度和强度,以使上采样水印图像具有良好的视觉效果和鲁棒性.实验结果表明该算法对噪声干扰及视频下采样具有较好的鲁棒性,而且不使用原始图像,就可进行水印的相关检测.

DCT-based Video Watermarking Technique Using Downsampling

DCT-based Watson's imperceptive watermarking model resisted downsampling attack is presented.The downsampling image is obtained by quasi-convoluted downsampling and the region,the length and the strength of watermark sequence is adaptively embedded in the downsampling image by exploiting the luminance characteristic and a perceptual distortion constraint,which greatly improves the perceptual quality and robustness of up-sampling watermarked image.Simulation results show that the proposed method can achieve a better robustness to the white noise and video downsampling and the original image is not required for watermark detection.