Abstract

Secret image sharing technology is a strategy for jointly protecting secret images. The (n, n) secret image sharing problem can be solved by conventional Boolean calculation easily. However, how to recover secret images with progressive steps is not addressed. In this study, we proposed an XOR-based (m, t, Ti) multi-secret image sharing scheme that shares m secret images among m participants and recovers m shared images progressively with t thresholds. The proposed secret images partition strategy (SIPS) partitions m secret images to generate intermediate images for different thresholds in the sharing procedure. Based on progressive recovery property, the proposed recovery method recovers parts of the secret images by gathering consecutive shared images. Moreover, gathering all shared images can perfectly recover all secret images. The experimental results show that the proposed XOR-based multi-secret image sharing method has high security and efficiency.

Highlights

  • With the development of digital multimedia and the Internet, the sharing of multimedia content through the Internet has become more popular, and intellectual property rights and personal privacy have become increasingly important

  • Thien and Lin [2] first proposed a secret image sharing scheme based on the ShamirLagrange method [3,4], and a number of functional secret image sharing schemes have been proposed, such as sharing a secret image among host images [5,6], sharing using Boolean operations [7,8], progressive sharing [9,10,11], visual cryptography with secret image sharing [12], and scalable sharing [13]

  • This paper proposed a secure XOR-based (m, t, Ti ) multiple secret image sharing approach that shares m secret images among m participants and recovers m shared images progressively with t thresholds

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Summary

Introduction

With the development of digital multimedia and the Internet, the sharing of multimedia content through the Internet has become more popular, and intellectual property rights and personal privacy have become increasingly important. The secret image sharing technique is one of the protection methods that aim to protect multimedia content and has become an important field of recent research [1]. Since most of the approaches perform only for sharing one secret image, they cannot share multiple secret images simultaneously in real circumstances. Over the past few years, a number of approaches for multi-secret image sharing have been proposed. Chen and Chien [14] proposed sharing numerous images secretly with the reduced possessing load. The concept of the method is to generate a random number image with the same size as the secret image, and the random number image and the secret image are processed separately, and the calculation is made public. Use secret image sharing technology to share images containing random noise with all participants

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