A k, n -Threshold Secret Image Sharing Scheme Based on a Non-Full Rank Linear Model

Ji-Hwei Horng, Si-Sheng Chen and Chin-Chen Chang
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Ji-Hwei Horng: Department of Electronic Engineering, National Quemoy University, Kinmen 89250, Taiwan
Si-Sheng Chen: School of Big Data and Artificial Intelligence of Fujian Polytechnic Normal University, Fuzhou 350030, China
Chin-Chen Chang: Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan

Mathematics, 2022, vol. 10, issue 3, 1-19

Abstract: Secret image sharing is a hot issue in the research field of data hiding schemes for digital images. This paper proposes a general k , n threshold secret image sharing scheme, which distributes secret data into n meaningful image shadows based on a non-full rank linear model. The image shadows are indistinguishable from their corresponding distinct cover images. Any k combination of the n shares can perfectly restore the secret data. In the proposed scheme, the integer parameters k , n , with k ≤ n , can be set arbitrarily to meet the application requirement. The experimental results demonstrate the applicability of the proposed general scheme. The embedding capacity, the visual quality of image shadows, and the security level are satisfactory.

Keywords: secret image sharing; data hiding; meaningful shadow images; non-full rank linear model (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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