Abstract

A reversible data hiding scheme for encrypted image was proposed based on Arnold transformation. In this scheme, the original image was divided into four sub-images by sampling, the sub-images were scrambled by Arnold transformation using two secret keys, then the scrambled sub-images were reconstituted an encrypted image. Subsequently, additional data was embedded into the encrypted image by modifying the difference between two adjacent pixels. With an encrypted image containing additional data, the receiver can obtain a decrypt image using the decryption key. Meanwhile, with the aid of the decryption key and information hiding key, the receiver can pick the hiding information and recover the original image without any error. Experiment result shows that the proposed scheme can obtain a higher payload with good image quality.

Highlights

  • Reversible data hiding is a technology that embeds additional information into the images, such as military or medical image, which extracts the hiding data, and perfectly reconstructs the original host signal from the embedded work

  • This paper proposed a method of reversible data hiding for encrypted images based on Arnold transformation

  • The original image was divided into four sub-images by sampling, the sub-images were scrambled by Arnold transformation using two secret keys, the scrambled sub-images were reconstituted an encrypted image

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Summary

Introduction

Reversible data hiding is a technology that embeds additional information into the images, such as military or medical image, which extracts the hiding data, and perfectly reconstructs the original host signal from the embedded work. This paper proposed a method of reversible data hiding for encrypted images based on Arnold transformation. In this scheme, the original image was divided into four sub-images by sampling, the sub-images were scrambled by Arnold transformation using two secret keys, the scrambled sub-images were reconstituted an encrypted image.

Image Encryption
Data Extracting and Image Recovery
Conclusions
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