1 research outputs found
Adaptive Reversible Watermarking Based on Linear Prediction for Medical Videos
Reversible video watermarking can guarantee that the watermark logo and the
original frame can be recovered from the watermarked frame without any
distortion. Although reversible video watermarking has successfully been
applied in multimedia, its application has not been extensively explored in
medical videos. Reversible watermarking in medical videos is still a
challenging problem. The existing reversible video watermarking algorithms,
which are based on error prediction expansion, use motion vectors for
prediction. In this study, we propose an adaptive reversible watermarking
method for medical videos. We suggest using temporal correlations for improving
the prediction accuracy. Hence, two temporal neighbor pixels in upcoming frames
are used alongside the four spatial rhombus neighboring pixels to minimize the
prediction error. To the best of our knowledge, this is the first time this
method is applied to medical videos. The method helps to protect patients'
personal and medical information by watermarking, i.e., increase the security
of Health Information Systems (HIS). Experimental results demonstrate the high
quality of the proposed watermarking method based on PSNR metric and a large
capacity for data hiding in medical videos.Comment: Algorithms are now presented in a standard forma