Robust Image Watermarking Scheme with General Regression Neural Network and FCM Algorithm

Authors:
Li Jing;Fenlin Liu;Bin Liu
Affiliations:
ZhengZhou Information Science and Technology Institute, Zhengzhou, China 450002 and College of Information, Henan University of Finance and Economy,;ZhengZhou Information Science and Technology Institute, Zhengzhou, China 450002;ZhengZhou Information Science and Technology Institute, Zhengzhou, China 450002
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Year:
2008

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Abstract

A robust image watermarking method based on general regression neural network (GRNN) and fuzzy c-mean clustering algorithm (FCM) is proposed. In order to keep the balance between robustness and imperceptible, it uses FCM to adaptively identify watermarking embedding locations and strength based on four characteristic parameters of human visual system. For good learning ability and fast train speed of GRNN, it trains a GRNN with the feature vector based on the local correlation of digital image. Then embed and extracted watermark signal with the help of the trained GRNN. In watermark extracting it does not need original image. Experimental results show that the proposed method has better performance than the similar method in countering common image process, such as Jpeg compression, noise adding, filtering and so on.