title: A Secure and Efficient Scalable Secret Image Sharing Scheme with Flexible Shadow Sizes.
abstract: In a general (k, n) scalable secret image sharing (SSIS) scheme, the secret image is shared by n participants and any k or more than k participants have the ability to reconstruct it. The scalability means that the amount of information in the reconstructed image scales in proportion to the number of the participants. In most existing SSIS schemes, the size of each image shadow is relatively large and the dealer does not has a flexible control strategy to adjust it to meet the demand of differen applications. Besides, almost all existing SSIS schemes are not applicable under noise circumstances. To address these deficiencies, in this paper we present a novel SSIS scheme based on a brand-new technique, called compressed sensing, which has been widely used in many fields such as image processing, wireless communication and medical imaging. Our scheme has the property of flexibility, which means that the dealer can achieve a compromise between the size of each shadow and the quality of the reconstructed image. In addition, our scheme has many other advantages, including smooth scalability, noise-resilient capability, and high security. The experimental results and the comparison with similar works demonstrate the feasibility and superiority of our scheme.
authors.affiliation: Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China.|School of Mathematics and Computer Science, Anhui Normal University, Wuhu, 241000, China.|National Engineering Laboratory for Disaster Backup and Recovery, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
authors.forename: Dong
authors.initials: D
authors.lastname: Xie
authors.affiliation: Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China.|National Engineering Laboratory for Disaster Backup and Recovery, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
authors.forename: Lixiang
authors.initials: L
authors.lastname: Li
authors.affiliation: Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China.|National Engineering Laboratory for Disaster Backup and Recovery, Beijing University of Posts and Telecommunications, Beijing, 100876, China.
authors.forename: Haipeng
authors.initials: H
authors.lastname: Peng
authors.affiliation: Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, 100876, China.|National Engineering Laboratory for Disaster Backup and Recovery, Beijing University of Posts and Telecommunications, Beijing, 100876, China.|State Key Laboratory of Public Big Data, Guizhou, 550025,China.
authors.forename: Yixian
authors.initials: Y
authors.lastname: Yang
mesh_terms: D000465:Algorithms; D016494:Computer Security; D006801:Humans; D007091:Image Processing, Computer-Assisted; D033181:Information Dissemination; D008962:Models, Theoretical