Image Fingerprinting Based on Improved Image Normalization and DFT
Hu Guan; Zhi Zeng; Jie Liu; Shuwu Zhang
2014
会议名称2014 2nd International Conference on Signal Processing, Image Processing and Pattern Recognition
会议录名称2014 2nd International Conference on Signal Processing, Image Processing and Pattern Recognition
会议日期2014.3.29-2014.3.30
会议地点Guilin, Guangxi, China
摘要As a new image copyright protection technique, a novel image fingerprinting algorithm based on improved image normalization and DFT is proposed in this paper. We first research the DFT amplitude coefficients deeply and improve the traditional image normalization method to fit for more general images, including aspect ratio and rotated angle estimation and correction schemes before normalizing the image. Then combine the improved image normalization method and DFT together to extract the image fingerprint according to the DFT amplitude coefficients. Compared with others’ achievements, our method performs better in resisting common image processing attacks and geometric distortions, also some kinds of combined distortions.
关键词Image Fingerprinting Image Hashing Zero Watermarking Image Normalization
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/15401
专题数字内容技术与服务研究中心_新媒体服务与管理技术
通讯作者Hu Guan
作者单位Institute of Automation, Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Hu Guan,Zhi Zeng,Jie Liu,et al. Image Fingerprinting Based on Improved Image Normalization and DFT[C],2014.
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