Image inpainting-based behavior image secret sharing

The polynomial-based image secret sharing (ISS) scheme encodes a secret image into n shadows assigned to n participants. The secret image with high resolution is decoded by Lagrange interpolation when collecting any k or more shadows. Thus, ISS is used in applications such as distributive storage in...

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Main Authors: Xuehu Yan, Xuan Zhou, Yuliang Lu, Jingju Liu, Guozheng Yang
Format: Article
Language:English
Published: AIMS Press 2020-03-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2020166?viewType=HTML
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author Xuehu Yan
Xuan Zhou
Yuliang Lu
Jingju Liu
Guozheng Yang
author_facet Xuehu Yan
Xuan Zhou
Yuliang Lu
Jingju Liu
Guozheng Yang
author_sort Xuehu Yan
collection DOAJ
description The polynomial-based image secret sharing (ISS) scheme encodes a secret image into n shadows assigned to n participants. The secret image with high resolution is decoded by Lagrange interpolation when collecting any k or more shadows. Thus, ISS is used in applications such as distributive storage in the cloud, digital watermarking, block chain, and access control. Meaningful shadows are significant in ISS because meaningful shadows decrease the suspicion of image encryption and increase the efficiency of shadow management. Generally, previously meaningful ISS schemes were achieved through embedding the shadows into cover images using information hiding techniques and suffer from large pixel expansion and complex decoding procedure. Digital image processing, such as inpainting (texture synthesis), is a standard technique in multimedia applications. It will be highly significant if ISS can be performed in the processing of a normal digital image processing technique. Generally, the encoding method of an ISS scheme entails the use of a mathematical function that is sensitive to any slight change in the ISS output; therefore, the development of a method for performing the ISS procedure and simultaneously achieving image processing behavior is a key challenge. In this paper, we exploit the behavior ISS (BISS) and realize an image inpainting-based BISS scheme for the (k, n) threshold. Using screening operations, a secret image is encoded into the pixels of cover images by polynomial-based ISS in the processing of inpainting shadows to obtain meaningful shadows similar to the input cover images. In addition, the secret image can be losslessly decoded by Lagrange interpolation when collecting any k or more shadows. Experiments are given to confirm the efficiency of the scheme.
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spelling doaj.art-adc9156ab7c949f58562e728f4ab99af2022-12-21T22:23:25ZengAIMS PressMathematical Biosciences and Engineering1551-00182020-03-011742950296610.3934/mbe.2020166Image inpainting-based behavior image secret sharingXuehu Yan0Xuan Zhou1Yuliang Lu2Jingju Liu3Guozheng Yang4National University of Defense Technology, Hefei 230037, ChinaNational University of Defense Technology, Hefei 230037, ChinaNational University of Defense Technology, Hefei 230037, ChinaNational University of Defense Technology, Hefei 230037, ChinaNational University of Defense Technology, Hefei 230037, ChinaThe polynomial-based image secret sharing (ISS) scheme encodes a secret image into n shadows assigned to n participants. The secret image with high resolution is decoded by Lagrange interpolation when collecting any k or more shadows. Thus, ISS is used in applications such as distributive storage in the cloud, digital watermarking, block chain, and access control. Meaningful shadows are significant in ISS because meaningful shadows decrease the suspicion of image encryption and increase the efficiency of shadow management. Generally, previously meaningful ISS schemes were achieved through embedding the shadows into cover images using information hiding techniques and suffer from large pixel expansion and complex decoding procedure. Digital image processing, such as inpainting (texture synthesis), is a standard technique in multimedia applications. It will be highly significant if ISS can be performed in the processing of a normal digital image processing technique. Generally, the encoding method of an ISS scheme entails the use of a mathematical function that is sensitive to any slight change in the ISS output; therefore, the development of a method for performing the ISS procedure and simultaneously achieving image processing behavior is a key challenge. In this paper, we exploit the behavior ISS (BISS) and realize an image inpainting-based BISS scheme for the (k, n) threshold. Using screening operations, a secret image is encoded into the pixels of cover images by polynomial-based ISS in the processing of inpainting shadows to obtain meaningful shadows similar to the input cover images. In addition, the secret image can be losslessly decoded by Lagrange interpolation when collecting any k or more shadows. Experiments are given to confirm the efficiency of the scheme.https://www.aimspress.com/article/doi/10.3934/mbe.2020166?viewType=HTMLimage secret sharingbehavior image secret sharingimage inpaintingpolynomialcolor imagemeaningful shadows
spellingShingle Xuehu Yan
Xuan Zhou
Yuliang Lu
Jingju Liu
Guozheng Yang
Image inpainting-based behavior image secret sharing
Mathematical Biosciences and Engineering
image secret sharing
behavior image secret sharing
image inpainting
polynomial
color image
meaningful shadows
title Image inpainting-based behavior image secret sharing
title_full Image inpainting-based behavior image secret sharing
title_fullStr Image inpainting-based behavior image secret sharing
title_full_unstemmed Image inpainting-based behavior image secret sharing
title_short Image inpainting-based behavior image secret sharing
title_sort image inpainting based behavior image secret sharing
topic image secret sharing
behavior image secret sharing
image inpainting
polynomial
color image
meaningful shadows
url https://www.aimspress.com/article/doi/10.3934/mbe.2020166?viewType=HTML
work_keys_str_mv AT xuehuyan imageinpaintingbasedbehaviorimagesecretsharing
AT xuanzhou imageinpaintingbasedbehaviorimagesecretsharing
AT yulianglu imageinpaintingbasedbehaviorimagesecretsharing
AT jingjuliu imageinpaintingbasedbehaviorimagesecretsharing
AT guozhengyang imageinpaintingbasedbehaviorimagesecretsharing