@article{(Open Science Index):https://publications.waset.org/pdf/834,
	  title     = {An Artificial Intelligent Technique for Robust Digital Watermarking in Multiwavelet Domain},
	  author    = {P. Kumsawat and  K. Pasitwilitham and  K. Attakitmongcol and  A. Srikaew},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, an artificial intelligent technique for
robust digital image watermarking in multiwavelet domain is
proposed. The embedding technique is based on the quantization
index modulation technique and the watermark extraction process
does not require the original image. We have developed an
optimization technique using the genetic algorithms to search for
optimal quantization steps to improve the quality of watermarked
image and robustness of the watermark. In addition, we construct a
prediction model based on image moments and back propagation
neural network to correct an attacked image geometrically before the
watermark extraction process begins. The experimental results show
that the proposed watermarking algorithm yields watermarked image
with good imperceptibility and very robust watermark against various
image processing attacks.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {5},
	  number    = {12},
	  year      = {2011},
	  pages     = {1512 - 1517},
	  ee        = {https://publications.waset.org/pdf/834},
	  url   	= {https://publications.waset.org/vol/60},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 60, 2011},
	}