文章摘要
陈青,吴继伟,孙峰.基于LWT-QR分解和Laplacian Pyramid的水印算法[J].包装工程,2018,39(3):217-222.
CHEN Qing,WU Ji-wei,SUN Feng.Watermarking Algorithm Based on the LWT-QR Decomposition and Laplacian Pyramid[J].Packaging Engineering,2018,39(3):217-222.
基于LWT-QR分解和Laplacian Pyramid的水印算法
Watermarking Algorithm Based on the LWT-QR Decomposition and Laplacian Pyramid
投稿时间:2017-01-08  修订日期:2018-02-10
DOI:10.19554/j.cnki.1001-3563.2018.03.041
中文关键词: Laplacian Pyramid  LWT-QR分解  鲁棒性  数字水印
英文关键词: Laplacian Pyramid  LWT-QR decomposition  robustness  digital watermarking
基金项目:国家高技术研究发展计划(863)(2012AA050206);上海自然科学基金(12ZR1420800);上海理工大学国家级项目培育基金(16HJPY-MS06)
作者单位
陈青 上海理工大学上海 200093 
吴继伟 上海理工大学上海 200093 
孙峰 上海理工大学上海 200093 
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中文摘要:
      目的 为了提高数字水印的鲁棒性和不可见性,提出一种基于Laplacian Pyramid和LWT-QR分解的水印算法。方法 首先对宿主图像进行2层Laplacian Pyramid分解,取其第2层Laplacian残差图像进行一层LWT分解,取其低频子带进行大小为4×4的无重叠分块处理。然后,基于提升小波系数的相关属性,再对每个选中的低频子块进行QR分解,取分解后R矩阵的第1行为目标进行水印的嵌入,同时对水印进行Arnold置乱,置乱后的水印图像嵌入到R矩阵的第1行元素中。结果 嵌入水印后图像的PSNR能够达到45 dB,而且该方案对常见的信号处理攻击有较好的鲁棒性,NC均值在0.9以上。结论 理论分析和大量的实验数据表明,该方案能够很好地改善图像操作过程中的鲁棒性和不可见性。
英文摘要:
      The work aims to improve the robustness and invisibility of digital watermarking and put forward a kind of watermarking algorithm based on the Laplacian Pyramid and LWT-QR decomposition. First, the two layers' Laplacian Pyramid decomposition of host image was conducted. The second layer of Laplacian residual image was taken for a layer of LWT decomposition, and the low frequency subband size was subject to the 4×4 non-overlapping block processing. Then, based on the related properties used to improve the wavelet coefficient, the QR decomposition of each selected line frequency sub-block was done. The watermark was embedded with the first line of the decomposed R matrix as the target. Meanwhile, Arnold scrambling of the watermark was conducted. The scrambled watermark image was embedded into the first-line elements of R matrix. The PSNR of the watermarked images could reach 45 dB, and such scheme had better robustness against the common signal processing attacks with the average NC values all above 0.9. Theoretical analysis and a lot of experimental data show that the scheme can well improve the robustness and invisibility in the operation process of the image.
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