A High Capacity Reversible Data Hiding in Encrypted Images Using Multi-MSB Prediction and Huffman Coding

The prosperity of cloud services stimulates the study of reversible data hiding in encrypted images, for which researchers dedicate to find better methods to adopt the new assumption that the ones who provide the cover images, a.k.a. the Content-owner, are no longer the same as the ones who hide the secret message into them, a.k.a. the Data-hider, and the Data-hider might not always be allowed to know the actual content of cover image the Content-owner provided, while the one who receives the stego image must be able to restore the exact cover image after extracting the secret. A method of such reversible data hiding in encrypted images has been proposed and we propose improvements to enhance its performance and make it more generalized and stable. Experimental results show that our proposal improves its performance even in the worst-case scenario.