| 基于提升小波和Harris角点检测的版权认证算法 |
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| 引用本文： | 李棚,程小燕.基于提升小波和Harris角点检测的版权认证算法[J].太原师范学院学报(自然科学版),2013(3):85-88. |
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| 作者姓名： | 李棚 程小燕 |
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| 作者单位： | [1]太原警官职业学院,山西太原030032 [2]太原师范学院,山西太原030012 |
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| 摘 要： | 文章提出一种新型的零水印版权认证方案,该方法利用自适应Harris角点检测算法并结合哈尔整数小波来提取图像特征.通过合理选择阈值T和局部特征半径R,特征映射表现出稳定和易识别的特性,因此可用来构建鲁棒水印.仿真表明,该方案可以抵抗多种信号攻击,如高斯噪声、JPEG有损压缩等,并在版权保护领域具有一定的可行性与可靠性.
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| 关 键 词： | 哈里斯角点检测 整数小波变换 鲁棒性 准确率 |
Copyright Authentication Algorithm Based on Lifting Wavelet and Harris Corner Detection |
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| Li Feng,Cheng Xiaoyan.Copyright Authentication Algorithm Based on Lifting Wavelet and Harris Corner Detection[J].Journal of Taiyuan Normal University:Natural Science Edition,2013(3):85-88. |
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| Authors: | Li Feng Cheng Xiaoyan |
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| Institution: | 1. Taiyuan Police Professional College, Taiyuan 030032;2. Taiyuan Normal University,Taiyuan 030012 ,China) |
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| Abstract: | A new type of zero-watermark copyright certification scheme is proposed,using adaptive Harris corner detection algorithm combined with Haar integer wavelet to extract image features. Threshold T and the local characteristics radius R through reasonable selection,the fea- ture mapping showed characteristics of stability and ease of identification, thus it can be used to build robust watermark. Simulation shows that the scheme can resist many kinds of signal such as gaussian noise,JPEG lossy compression attack, and has certain feasibility and reliability in the copyright protection. |
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| Keywords: | Harris corner detection integer wavelet transform robustness accuracy |
| 本文献已被 CNKI 维普 等数据库收录！ |
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