Abstract

Reversible data hiding (RDH) in color image is an important topic of data hiding. This paper presents an efficient RDH algorithm for color image via double-layer embedding. The key contribution is the proposed double-layer embedding technique based on histogram shifting (HS). This technique exploits image interpolation to generate prediction error matrices for HS in the first-layer embedding and uses local pixel similarity to calculate difference matrices for HS in the second-layer embedding. It inherits reversibility from HS and makes high embedding capacity due to the use of double layers in data embedding. In addition, inter-channel correlation is incorporated into the first-layer embedding and the second-layer embedding for generating histograms with high peaks, so as to improve embedding capacity. Experiments with open standard datasets are done to validate performance of the proposed RDH algorithm. Comparison results show that the proposed RDH algorithm outperforms some state-of-the-art RDH algorithms in terms of embedding capacity and visual quality.

Highlights

  • Secure transmission of private information via public channels [1], [2] has attracted much attention in the past decade

  • EXPERIMENTAL RESULTS In the experiments, performances of our Reversible data hiding (RDH) algorithm are evaluated with embedding capacity and visual quality

  • The embedding capacity is measured by the number of the embedded bits, and the visual quality is evaluated by the well-known metric called PSNR

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Summary

INTRODUCTION

Secure transmission of private information via public channels [1], [2] has attracted much attention in the past decade. Tang et al [11] designed a novel RDH algorithm for encrypted image This algorithm uses a technique called differential compression to vacate room for data embedding and reaches high capacity. In [13], Alattar designed a high-capacity reversible watermarking algorithm for color images This algorithm can embed several secret bits by exploiting vector DE of adjacent pixels. Peng et al [28] presented a new RDH algorithm using the techniques of IT and adaptive embedding Since this RDH algorithm can adaptively embed data into blocks by tuning capacity parameter in IT, it can reach high capacity with good image quality. Ou et al [31] exploited inter-channel correlation and adaptive embedding to construct an efficient color image RDH algorithm.

OUR RDH ALGORITHM
HISTOGRAM SHIFTING
FIRST-LAYER EMBEDDING
SECOND-LAYER EMBEDDING
PERFORMANCE COMPARISONS
CONCLUSION
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