A Hybrid Intelligent SVD-Based Digital Image Watermarking

This paper proposes an intelligent hybrid watermarking algorithm for digital images. In digital image watermarking, robustness and imperceptibility compete with each other. In this paper we applied a hybrid intelligent algorithm based on genetic programming and particle swarm optimization to make a trade off between robustness and imperceptibility. In this way the intelligent method has been applied in DCT_DWT_SVD domain. First of all the original image is transformed into DCT domain and then a part of DCT matrix is decomposed into four subbands using discrete wavelet transform and finally the singular values of each subband are shaped perceptually by singular values of watermark image to embed the watermark. The optimization problem which is related to a conflict between robustness and imperceptibility is solved by means of genetic programming and particle swarm optimization, simultaneously, to achieve the best performance in robustness without losing the quality of host image. Experimental results show improvement in imperceptibility and robustness under several attacks and different images.

[1]  V. Aslantaş.  A singular-value decomposition-based image watermarking using genetic algorithm , 2008 .

[2]  Kuo-Cheng Liu.  Wavelet-based watermarking for color images through visual masking , 2010 .

[3]  Asifullah Khan,et al.  Genetic perceptual shaping: Utilizing cover image and conceivable attack information during watermark embedding , 2007, Inf. Fusion.

[4]  Zhizhong Ding,et al.  Spread Spectrum Watermark for Color Image Based on Wavelet Tree Structure , 2008, 2008 International Conference on Computer Science and Software Engineering.

[5]  D.R. ElShafie,et al.  Parameter optimization of an embedded watermark using a genetic algorithm , 2008, 2008 3rd International Symposium on Communications, Control and Signal Processing.

[6]  Ruisong Ye,et al.  A Novel Digital Image Watermarking Approach Based on Image Blocks Similarity , 2008, 2008 Congress on Image and Signal Processing.

[7]  Ingemar J. Cox,et al.  Digital Watermarking and Steganography , 2014 .

[8]  John R. Koza,et al.  Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.

[9]  Weidong Zhao,et al.  A Blind and Self-Adaptive Digital Watermarking Based on Wavelet-Packet Decomposition , 2008, 2008 Congress on Image and Signal Processing.

[10]  Panpan Niu,et al.  A feature-based digital watermarking scheme for halftone image☆ , 2010 .

[11]  James Kennedy,et al.  The Behavior of Particles , 1998, Evolutionary Programming.

[12]  Mansour Jamzad,et al.  A Robust Image Watermarking Method in Wavelet Domain Using Genetic Algorithm , 2009, 2009 International Conference on Availability, Reliability and Security.

[13]  B. Guo,et al.  Localized image watermarking in spatial domain resistant to geometric attacks , 2009 .

[14]  Wen Gao,et al.  A robust watermarking method based on wavelet and Zernike transform , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

[15]  Veysel Aslantas,et al.  DWT-SVD based image watermarking using Particle Swarm Optimizer , 2008, 2008 IEEE International Conference on Multimedia and Expo.

[16]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[17]  R. W. Dobbins,et al.  Computational intelligence PC tools , 1996 .

[18]  Izharuddin,et al.  Blind self-authentication of images for robust watermarking using integer wavelet transform , 2009 .