General Meaningful Shadow Construction in Secret Image Sharing

Secret image sharing (SIS) is an important technique for image protection. Several shadows are produced in SIS through scrambling pixel values and their correlations of a secret image. We can own sufficient shadows to retrieve the secret image. Meaningful shadow will increase management efficiency a...

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Main Authors: Xuehu Yan, Yuliang Lu, Lintao Liu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8435908/
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spelling doaj-c0386466792c45fabd8a90496c0c4d712021-03-29T21:13:32ZengIEEEIEEE Access2169-35362018-01-016452464525510.1109/ACCESS.2018.28654218435908General Meaningful Shadow Construction in Secret Image SharingXuehu Yan0https://orcid.org/0000-0001-6388-1720Yuliang Lu1Lintao Liu2National University of Defense Technology, Hefei, ChinaNational University of Defense Technology, Hefei, ChinaNational University of Defense Technology, Hefei, ChinaSecret image sharing (SIS) is an important technique for image protection. Several shadows are produced in SIS through scrambling pixel values and their correlations of a secret image. We can own sufficient shadows to retrieve the secret image. Meaningful shadow will increase management efficiency as well as decrease encryption suspiciousness. More importantly, it may be applied to encrypted domain searching, which is useful in distributed storage and cloud computing. Hence, the meaningful shadow will save labor and reduce energy consumption. In this paper, based on analyses of the image, SIS, and meaningful shadow, we design a general SIS construction method with meaningful shadow and no pixel expansion, by which and some classic SIS techniques with meaningless (noise-like) shadow some SIS algorithms with meaningful shadow are derived. We take some experiments to demonstrate the effectiveness of our method.https://ieeexplore.ieee.org/document/8435908/Secret image sharingextended secret image sharingpolynomial-based secret image sharingvisual cryptographymeaningful shadow
collection DOAJ
language English
format Article
sources DOAJ
author Xuehu Yan
Yuliang Lu
Lintao Liu
spellingShingle Xuehu Yan
Yuliang Lu
Lintao Liu
General Meaningful Shadow Construction in Secret Image Sharing
IEEE Access
Secret image sharing
extended secret image sharing
polynomial-based secret image sharing
visual cryptography
meaningful shadow
author_facet Xuehu Yan
Yuliang Lu
Lintao Liu
author_sort Xuehu Yan
title General Meaningful Shadow Construction in Secret Image Sharing
title_short General Meaningful Shadow Construction in Secret Image Sharing
title_full General Meaningful Shadow Construction in Secret Image Sharing
title_fullStr General Meaningful Shadow Construction in Secret Image Sharing
title_full_unstemmed General Meaningful Shadow Construction in Secret Image Sharing
title_sort general meaningful shadow construction in secret image sharing
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2018-01-01
description Secret image sharing (SIS) is an important technique for image protection. Several shadows are produced in SIS through scrambling pixel values and their correlations of a secret image. We can own sufficient shadows to retrieve the secret image. Meaningful shadow will increase management efficiency as well as decrease encryption suspiciousness. More importantly, it may be applied to encrypted domain searching, which is useful in distributed storage and cloud computing. Hence, the meaningful shadow will save labor and reduce energy consumption. In this paper, based on analyses of the image, SIS, and meaningful shadow, we design a general SIS construction method with meaningful shadow and no pixel expansion, by which and some classic SIS techniques with meaningless (noise-like) shadow some SIS algorithms with meaningful shadow are derived. We take some experiments to demonstrate the effectiveness of our method.
topic Secret image sharing
extended secret image sharing
polynomial-based secret image sharing
visual cryptography
meaningful shadow
url https://ieeexplore.ieee.org/document/8435908/
work_keys_str_mv AT xuehuyan generalmeaningfulshadowconstructioninsecretimagesharing
AT yulianglu generalmeaningfulshadowconstructioninsecretimagesharing
AT lintaoliu generalmeaningfulshadowconstructioninsecretimagesharing
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