Adaptive Reversible Data Hiding by Extending the Generalized Integer Transformation

Abstract

This letter proposes a novel reversible data hiding (RDH) method with an adaptive embedding capability by extending the generalized integer transformation (GIT). We modify the GIT algorithm to a further generalized form, and accordingly we propose an adaptive embedding algorithm. When hiding data into the original image, parameters of the extended GIT can be identified according to the content of each block. Along with a multi-level location map, a better embedding efficiency of the net payload can be achieved. On the decoding side, the original image can be losslessly recovered after extracting the hidden message. Experimental results show that the proposed method outperforms state-of-the-art integer-transformation based RDH methods.