Yet another but an incremental reversible data hiding- for an irreversible data safety

Abstract

In this study a reversible multilevel data hiding algorithms using histogram has been proposed. Here multilevel hiding is used to improve hiding capacity and reduce the distortion. Using the property of reversibility the proposed method can recover the embedded message without distorting the original media. By evaluating joint imperceptibility and hiding capacity, three different approaches was carried out and compared. Security analysis was done through PSNR and embedding capacity. The algorithms were tested for 5 different images of size 256×256 and 512×512. The proposed method was compared with other existing reversible multilevel hiding schemes and the results were found to be better.

Generative Reversible Data Hiding by Image-to-Image Translation via GANs

“…Information hiding [1][2][3][4][5], also called data hiding, is an important information security technique widely used in secret transmission [6], digital copyright protection [7], and other scenarios. If we classify data hiding by the reversibility of cover image, data hiding can generally be divided into two types: irreversible data hiding (IDH) [8][9] and reversible data hiding (RDH) [10][11][12]. The traditional data hiding methods can be classified into the former type while the latter type is a special technique which is mainly applied to medical, judicial, and military fields.…”