Reversible Data Hiding Based on Invariant Image Classification and Expansion Embedding in Medical Images
نویسنده
چکیده
In this paper, an improved reversible data hiding scheme is proposed . In the method proposed by us , it apply expansion embedding , which will adaptively takes care of local specifities of image content. In our method , it classify pixels based on their predicted value and pixels prediction errors. By applying expansion embedding to the pixels prediction errors and by considering their immediate neighbourhood, the scheme we propose inserts data . The method proposed by us uses expansion embedding rather than histogram shifting used in existing system. The method proposed by us improves the performance by minimizing image distortion. Keywords— HS (Histogram Shifting ), DE (Difference Expansion), EE ( Expansion Embedding ),PHS ( Pixel Histogram Shifting )
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