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Robust zero-watermarking scheme using local invariant keypoints  ( CPCI-S收录)  

文献类型:会议论文

英文题名:Robust zero-watermarking scheme using local invariant keypoints

作者:Li Jing[1,2];Shuhong Li[2]

第一作者:Li Jing;景丽

通讯作者:Jing, L[1]

机构:[1]Informat Sci & Technol Inst, ZhenZhou 7,JianXue Rd, Zhengzhou 450002, Henan, Peoples R China;[2]Henan Univ Finance & Econ, Coll Informat, Zhengzhou 450002, Henan, Peoples R China

第一机构:Informat Sci & Technol Inst, ZhenZhou 7,JianXue Rd, Zhengzhou 450002, Henan, Peoples R China

通讯机构:[1]corresponding author), Informat Sci & Technol Inst, ZhenZhou 7,JianXue Rd, Zhengzhou 450002, Henan, Peoples R China.

会议论文集:7th WSEAS International Conference on Multimedia Systems and Signal Processing (MUSP'07)

会议日期:APR 15-17, 2007

会议地点:Hangzhou, PEOPLES R CHINA

语种:英文

外文关键词:zero-watermarking; discrete wavelet transform; scale invariant feature transform; log-polar mapping; geometrical distortion

摘要:This paper presents a novel zero-watermarking scheme, which is robust to geometric distortions and common signal processes. Zero-watemarking technique is different from traditional digital image watermarking, which constructs watermark from its host image, instead of watermark inserting. We construct watermark from low-frequency coefficients in discrete wavelet transform (DWT) domain, which is robust to signal processes. Before DWT, we performs log-polar mapping (LPM) in the host image for being against scaling and cropping. For translation and rotation invariance, we apply Scale Invariant Feature Transform (SIFT) feature descriptors to locate two local invariant keypoints. One of them is regarded as the original of LPM and both of them are as reference points in correcting rotation distortion. Extensive experiments show that our scheme is effective and outperforms the previous watermarking schemes in resisting signal process, aspect ratio change, scaling and shearing.

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