摘要
图像水印技术已经得到了一定的发展,但数字视频水印的研究仍是一个难点。为了更好地保护视频数据的版权,提出了一种新的视频水印算法。对图像帧的亮度分量其进行分块,每块进行离散余弦变换,把水印数据通过正负量化嵌入到各分块的低频系数中去。为增强算法的安全性,将原始水印图像和随机二值图像作为细胞神经网络(CNN)的输入,输出的图像再被用来进行进一步嵌入操作。载体视频中的部分图像帧被用来进行多次水印嵌入。实验结果表明该方法具有较好的鲁棒性,而且算法简单,便于视频实时处理。
Image watermarking technology has been developed rapidly ,but the research of digital video watermarking is still difficult .In order to protect the copyright of digital video content ,a novel video watermarking method using positive and negative quantization was presented in this paper . Some selected video frames were used to embed watermark information .The brightness component of the carrier video frame was divided into several blocks .Each block was implemented discrete cosine transform （DCT ） . The watermark was embedded in the low frequent DCT coefficients .The watermark embedding and extraction were based on positive and negative quantitative manner .In order to enhance the security of the algorithm ,the watermark image and the random binary image were used as the inputs of the cellular neural network （CNN） ,and the output was used for embedding .The experimental results had shown the robustness of this method to common attacks .This method is simple ,and is convenient for real-time video processing .
出处
《电子测量技术》
2016年第6期72-75,共4页
Electronic Measurement Technology
基金
陕西省科技厅基金(2014JM2-6122)资助项目
关键词
视频水印
量化
离散余弦变换
video watermarking
quantization
discrete cosine transform
