Invariant Digital Image Watermarking Using Adaptive Harris Corner Detector

A robust and geometric invariant digital image watermarking scheme based on feature extraction and histogram distribution is proposed in this paper. The feature extraction method called Harris Corner Detector is adopted and revised by adjusting the response threshold value and ranking the response R value to extract feature points and thus define the regions for watermark data bits embedding and extraction. Each embedding region is a square matrix centering at the selected feature points. For watermark embedding, some pixels are moved to form a specific pattern in the intensity-level histogram distribution in each embedding region, indicating the watermark. For watermark extraction, the Adaptive Harris Corner Detector is adopted to restore the image to its original un-rotated position. According to the intensity-level histogram distribution in each embedded region, the watermark is extracted. Experimental results show that the proposed scheme is very robust against rotation, scaling, JPEG compression, median filtering, low-pass Gaussian filtering and also noise pollution.

[1]  Ioannis Pitas,et al.  Robust Watermarking of Facial Images Based on Salient Geometric Pattern Matching , 2000, IEEE Trans. Multim..

[2]  Jae-Won Suh,et al.  Fragile Watermarking Based on Localized Histogram Modification , 2009, 2009 6th IEEE Consumer Communications and Networking Conference.

[3]  Christopher G. Harris,et al.  A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.

[4]  Hans P. Moravec.  Obstacle avoidance and navigation in the real world by a seeing robot rover , 1980 .

[5]  Chi-Man Pun,et al.  Robust Block and Gray-Level Histogram Based Watermarking Scheme , 2009, PCM.

[6]  Xiaoyun Wu,et al.  Reversible Semi-fragile Watermarking Based on Histogram Shifting of Integer Wavelet Coefficients , 2007, 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference.

[7]  Jiying Zhao,et al.  RST Invariant Image Watermarking Algorithm With Mathematical Modeling and Analysis of the Watermarking Processes , 2009, IEEE Trans. Image Process..

[8]  Yao Zhao,et al.  Image Watermarking Resisting to Geometrical Attacks Based on Histogram , 2006, 2006 International Conference on Intelligent Information Hiding and Multimedia.

[9]  M. Hemahlathaa,et al.  A feature-based robust digital image watermarking scheme , 2012, 2012 International Conference on Computing, Communication and Applications.

[10]  Benoit M. Macq,et al.  Robust watermarking based on the warping of predefined triangular patterns , 2000, Electronic Imaging.

[11]  Ahmed H. Tewfik,et al.  Geometric Invariance in image watermarking , 2004, IEEE Transactions on Image Processing.

[12]  Abdulmotaleb El-Saddik,et al.  A Survey of RST Invariant Image Watermarking Algorithms , 2006, 2006 Canadian Conference on Electrical and Computer Engineering.

[13]  Hefei Ling,et al.  A robust blind image watermarking scheme based on feature points and rs-invariant domain , 2006, 2006 8th international Conference on Signal Processing.

[14]  Hsueh-Ming Hang,et al.  A feature-based robust digital image watermarking scheme , 2003, IEEE Trans. Signal Process..

[15]  Y. Liu,et al.  A Robust Image Watermarking Method Based on Adaptive Feature Points Detection , 2006, 2006 International Conference on Communications, Circuits and Systems.

[16]  C. Lin,et al.  Histogram-oriented watermarking algorithm: colour image watermarking scheme robust against geometric attacks and signal processing , 2006 .