Combined Prediction-Based Reversible Data Embedding Methods for High Image Quality

Prediction-based reversible data hiding has the capability of embedding a large amount of secret data, but both the embeddable and non-embeddable pixels are modified, which increases the image distortion. In order to improve the quality of stego image, this paper skillfully combines two typical prediction-based reversible data hiding methods and designs the embedding rules to reduce the number of modified pixels. Experimental results demonstrate that the PSNR value of the proposed method is significantly higher than that of the related methods.