Reversible Data Hiding in Encrypted Images Using Difference Expansion and Histogram Shifting

Abstract

Over the past 20 years, there has been an increase in the use of Reversible Data Hiding (RDH) techniques, in which information is embedded in an image in a way that permits the restoration of the original image. The image is first split up into non-overlapping blocks, and a random value is used to encrypt each block. The primary advantage is that it is possible to maintain the association between neighbouring pixels. In this paper, an approach to develop an effective method for maximizing the image quality and minimizing the error- rate in the recovered image. Separability is possible because, due to the retained correlation, the difference prediction in the encrypted and plaintext domains is precisely identical. The data-hider may add more data to an encrypted image without gaining access to the original image information by employing histogram shifting and difference expansion. The original image and the embedded extra data will be recovered separately and error-free at the receiving end. Experimental results signifies that the efficiency and viability of the suggested method that are presented.