A Reversible Data Hiding Scheme Based on Multiple Residual Histogram Shifting

Publication Date

1-1-2021

Document Type

Conference Proceeding

Publication Title

Proceedings - IEEE 7th International Conference on Big Data Computing Service and Applications, BigDataService 2021

DOI

10.1109/BigDataService52369.2021.00033

First Page

208

Last Page

213

Abstract

In this paper, a reversible data hiding scheme based on multiple residual histogram shifting is proposed. As is known to all, there is a prediction technology which can improve the hiding ability under the premise of ensuring good stego-image quality. It studies the similarity between image pixels and uses the residual histogram of the original coverage image to hide secret data. However, when the residual histogram is used to hide the secret data, some pixels in the original image are not well utilized. To solve this problem, we proposed a novel reversible data hiding scheme based on multiple residual histogram shifting. The basic image composed of basic pixels is extracted and processed by prediction technology, and the residual histogram of the basic image is used to hide the secret data too. The experimental results demonstrate that the proposed scheme has higher hiding capacity and better stego-image quality.

Funding Number

61902110

Funding Sponsor

National Natural Science Foundation of China

Keywords

Basic pixel, Image encryption, Residual image, Reversible hiding

Department

Applied Data Science; Computer Engineering

Link to Full Text

Share

COinS