A new robust digital image watermarking technique based on the Discrete Cosine Transform and Neural Network

This paper presents a new robust digital image watermarking technique based on discrete cosine transform (DCT) and neural network. The neural network is full counter propagation neural network (FCNN). FCNN has been used to simulate the perceptual and visual characteristics of the original image. The perceptual features of the original image have been used to determine the highest changeable threshold values of DCT coefficients. The highest changeable threshold values have been used to embed the watermark in DCT coefficients of the original image. The watermark is a binary image. The pixel values of this image are inserted as zero and one values in the DCT coefficients of the image. The implementation results have shown that this watermarking algorithm has an acceptable robustness versus different kinds of watermarking attacks.

[1]  Liu Quan,et al.  Researches on uniform meaningful watermark , 2002, 6th International Conference on Signal Processing, 2002..

[2]  David W. Conrath,et al.  Communication Technology: A Societal Perspective , 1973 .

[3]  Ahmad R. Naghsh-Nilchi,et al.  A New Approach to Steganography using Sinc-Convolution Method , 2008 .

[4]  Walter Bender,et al.  Techniques for data hiding , 1995, Electronic Imaging.

[5]  Héctor M. Pérez Meana,et al.  Adaptive Watermarking Algorithm for Binary Image Watermarks , 2004, AWIC.

[6]  Lane S. Garrett,et al.  Integrated-circuit digital logic families IIIߞECL and MOS devices , 1970, IEEE Spectrum.

[7]  Chuan-Yu Chang,et al.  Apply the counterpropagation neural network to digital image copyright authentication , 2005, 2005 9th International Workshop on Cellular Neural Networks and Their Applications.

[8]  Yun Q. Shi,et al.  Image and Video Compression for Multimedia Engineering , 1999 .

[9]  Wenjun Zeng,et al.  Image-adaptive watermarking using visual models , 1998, IEEE J. Sel. Areas Commun..

[10]  Kayvan Najarian,et al.  Maximizing strength of digital watermarks using neural networks , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

[11]  Lotfi Kamoun,et al.  Exploitation of the HVS features for the enhancement of image watermarking techniques , 2003, 3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the.

[12]  Ja-Ling Wu,et al.  Hidden digital watermarks in images , 1999, IEEE Trans. Image Process..

[13]  Ingemar J. Cox,et al.  Secure spread spectrum watermarking for multimedia , 1997, IEEE Trans. Image Process..

[14]  Jun Zhang,et al.  Hiding a logo watermark into the multiwavelet domain using neural networks , 2002, 14th IEEE International Conference on Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings..

[15]  Yi-An Chen,et al.  AN ADAPTIVE DIGITAL IMAGE WATERMARKING ALGORITHM BASED ON WAVELET NEURAL NETWORKS , 2005 .