@article{(Open Science Index):https://publications.waset.org/pdf/9997179,
	  title     = {A Prediction-Based Reversible Watermarking for MRI Images},
	  author    = {Nuha Omran Abokhdair and  Azizah Bt Abdul Manaf},
	  country	= {},
	  institution	= {},
	  abstract     = {Reversible watermarking is a special branch of image watermarking, that is able to recover the original image after extracting the watermark from the image. In this paper, an adaptive prediction-based reversible watermarking scheme is presented, in order to increase the payload capacity of MRI medical images. The scheme divides the image into two parts, Region of Interest (ROI) and Region of Non-Interest (RONI). Two bits are embedded in each embeddable pixel of RONI and one bit is embedded in each embeddable pixel of ROI. The experimental results demonstrate that the proposed scheme is able to achieve high embedding capacity. This is mainly caused by two reasons. First, the pixels that were excluded from data embedding due to overflow/underflow are used for data embedding. Second, large location map that need to be added to watermark data as overhead is eliminated and thus lower data embedding capacity is prevented. Moreover, the scheme provides good visual quality to the watermarked image.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {7},
	  number    = {2},
	  year      = {2013},
	  pages     = {328 - 331},
	  ee        = {https://publications.waset.org/pdf/9997179},
	  url   	= {https://publications.waset.org/vol/74},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 74, 2013},
	}