Side-match Approach for Improving Histogram-Based Reversible Data Hiding

Abstract

Reversible data hiding has drawn considerable attention in recent years. Being reversible, the decoder can extract the hidden data and recover the original image completely. In this paper we used the side-match prediction to achieve a histogram-based reversible data hiding. The histogram is created by exploiting all difference values between pixels and their predictive values. Experimental results show that our method is capable of providing a great embedding capacity without making noticeable distortion. In the one-level hiding, our method remains image qualities larger than 48 dB and has the best capacity. Moreover, in the multilevel case our method performs better than other existed methods. Our method can successfully increase the embedding capacity from histogram-based data hiding and remain the image quality well.