Detection of Reversible Data Hiding Scheme Based on Histogram Feature Codes

Abstract

Reversible data hiding scheme assures that the original cover image can be totally recovered from the stego-image after the hidden messages are extracted. Those techniques are suitable for the applications of military, medical, high-energy particle physical experimental investigation and artistic purposes when any distortion to the original images is not acceptable. In 2006, Ni et al. proposed a reversible data hiding algorithm base on histogram shifting. Utilizing the zero or minimum points of the histogram of an image and slightly modifies the pixel grayscale values to embed messages into the image. The goal of steganalysis is to identify suspected images, determine whether or not they have messages embedded in them. In this paper, a novel steganalytic scheme against Ni et al.’s steganographic method based on histogram feature codes is proposed. Experimental results show that the steganalytic scheme is capable to detect the Ni et al.s’ steganographic method.