Intelligent threshold selection for reversible watermarking of medical images

Authors:
Muhammad Arsalan;Sana Ambreen Malik;Asifullah Khan
Affiliations:
Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan;Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan;Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan
Venue:
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Year:
2010

Citing 5
Cited 1

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Abstract

In this paper we present reversible data hiding of digital images using integer wavelet transform and companding technique. The prime requirement of reversible data hiding is that the cover media should be least distorted. The information embedded in the cover work should be fully extractable and the cover work be restored to its original state as well. In this paper we implement a watermarking technique which takes the advantage of the companding mechanism and threshold based strategy. Genetic Algorithm based intelligent coefficient selection scheme is applied to improve the imperceptibility with high effective payload. Improvement in imperceptibility at the same level of payload is observed by exploiting the learning capabilities of GA.