Reversible Data Hiding Based on Directional Prediction and Multiple Histograms Modification

The reversible data hiding is an emerging technology that uses the redundancy of the carrier (typically digital images) to embed secret information and ensure the reversibility of the carrier and hidden information. In recent year, a number of reversible data hiding algorithms based on prediction error expansion have been developed. In prediction error expansion, prediction on the center pixel is made based on its neighbor pixels. The data embedding is conducted by the modification on the histogram made from prediction error expansion. Therefore, the accuracy of prediction on pixel is the key to improve the performance of the algorithm. In this paper, we propose a new reversible data hiding based on directional prediction and multiple histograms modification and design the corresponding reversible hiding rules. Compared to the existing algorithms, experimental results show that the proposed method can reduce distortion to the image at given embedding capacity.