Image Fingerprinting Based on Improved Image Normalization and DFT
Hu Guan; Zhi Zeng; Jie Liu; Shuwu Zhang
2014
Conference Name2014 2nd International Conference on Signal Processing, Image Processing and Pattern Recognition
Source Publication2014 2nd International Conference on Signal Processing, Image Processing and Pattern Recognition
Conference Date2014.3.29-2014.3.30
Conference PlaceGuilin, Guangxi, China
AbstractAs 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.
KeywordImage Fingerprinting Image Hashing Zero Watermarking Image Normalization
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15401
Collection数字内容技术与服务研究中心_新媒体服务与管理技术
Corresponding AuthorHu Guan
AffiliationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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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