An Image Watermarking Scheme Robust to Geometric Distortion Based on SIFT Feature

被引:0
|
作者
Hou, Chunjie
Li, Chuanmu [1 ]
机构
[1] Jimei Univ, Sch Comp Engn, Xiamen 361021, Peoples R China
来源
2020 IEEE 14TH INTERNATIONAL CONFERENCE ON ANTI-COUNTERFEITING, SECURITY, AND IDENTIFICATION (ASID) | 2020年
关键词
digital watermarking; scale invariant feature transform (SIFT); geometric attacks; Zernike moment; feature region; FRACTIONAL FOURIER-TRANSFORM; WAVELET TRANSFORM; ENCRYPTION;
D O I
10.1109/asid50160.2020.9271779
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A geometrically robust image watermarking scheme based on scale invariant feature transform (SIFT) and pseudo-Zernike moment is proposed. Firstly, the steady feature points are extracted from the host image by using SIFT; then the size and orientation of each local feature region are ascertained adaptively according to its feature scale and orientation; Lastly, some un-overlapped local feature regions with large-scale are selected for embedding watermarking, and the same digital watermarking is embedded into each local feature region by quantizing the magnitudes of the pseudo-Zernike moments. Simulation results show that the proposed watermarking scheme is invisible, and robust against common signal processing and geometric attacks.
引用
收藏
页码:139 / +
页数:5
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