Meaningful Secret Image Sharing with Saliency Detection
Secret image sharing (SIS), as one of the applications of information theory in information security protection, has been widely used in many areas, such as blockchain, identity authentication and distributed cloud storage. In traditional secret image sharing schemes, noise-like shadows introduce di...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-02-01
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| Series: | Entropy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1099-4300/24/3/340 |
| _version_ | 1827649123414704128 |
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| author | Jingwen Cheng Xuehu Yan Lintao Liu Yue Jiang Xuan Wang |
| author_facet | Jingwen Cheng Xuehu Yan Lintao Liu Yue Jiang Xuan Wang |
| author_sort | Jingwen Cheng |
| collection | DOAJ |
| description | Secret image sharing (SIS), as one of the applications of information theory in information security protection, has been widely used in many areas, such as blockchain, identity authentication and distributed cloud storage. In traditional secret image sharing schemes, noise-like shadows introduce difficulties into shadow management and increase the risk of attacks. Meaningful secret image sharing is thus proposed to solve these problems. Previous meaningful SIS schemes have employed steganography to hide shares into cover images, and their covers are always binary images. These schemes usually include pixel expansion and low visual quality shadows. To improve the shadow quality, we design a meaningful secret image sharing scheme with saliency detection. Saliency detection is used to determine the salient regions of cover images. In our proposed scheme, we improve the quality of salient regions that are sensitive to the human vision system. In this way, we obtain meaningful shadows with better visual quality. Experiment results and comparisons demonstrate the effectiveness of our proposed scheme. |
| first_indexed | 2024-03-09T19:52:29Z |
| format | Article |
| id | doaj.art-be6364b872d24355ade4e3f62ff01646 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-09T19:52:29Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-be6364b872d24355ade4e3f62ff016462023-11-24T01:06:59ZengMDPI AGEntropy1099-43002022-02-0124334010.3390/e24030340Meaningful Secret Image Sharing with Saliency DetectionJingwen Cheng0Xuehu Yan1Lintao Liu2Yue Jiang3Xuan Wang4College of Electronic Engineering, National University of Defense Technology, Hefei 230037, ChinaCollege of Electronic Engineering, National University of Defense Technology, Hefei 230037, ChinaCollege of Electronic Engineering, National University of Defense Technology, Hefei 230037, ChinaCollege of Electronic Engineering, National University of Defense Technology, Hefei 230037, ChinaCollege of Electronic Engineering, National University of Defense Technology, Hefei 230037, ChinaSecret image sharing (SIS), as one of the applications of information theory in information security protection, has been widely used in many areas, such as blockchain, identity authentication and distributed cloud storage. In traditional secret image sharing schemes, noise-like shadows introduce difficulties into shadow management and increase the risk of attacks. Meaningful secret image sharing is thus proposed to solve these problems. Previous meaningful SIS schemes have employed steganography to hide shares into cover images, and their covers are always binary images. These schemes usually include pixel expansion and low visual quality shadows. To improve the shadow quality, we design a meaningful secret image sharing scheme with saliency detection. Saliency detection is used to determine the salient regions of cover images. In our proposed scheme, we improve the quality of salient regions that are sensitive to the human vision system. In this way, we obtain meaningful shadows with better visual quality. Experiment results and comparisons demonstrate the effectiveness of our proposed scheme.https://www.mdpi.com/1099-4300/24/3/340secret image sharingrandom elements utilization modelstatistical correlationsaliency detectionmeaningful shadowspolynomial-based SIS |
| spellingShingle | Jingwen Cheng Xuehu Yan Lintao Liu Yue Jiang Xuan Wang Meaningful Secret Image Sharing with Saliency Detection Entropy secret image sharing random elements utilization model statistical correlation saliency detection meaningful shadows polynomial-based SIS |
| title | Meaningful Secret Image Sharing with Saliency Detection |
| title_full | Meaningful Secret Image Sharing with Saliency Detection |
| title_fullStr | Meaningful Secret Image Sharing with Saliency Detection |
| title_full_unstemmed | Meaningful Secret Image Sharing with Saliency Detection |
| title_short | Meaningful Secret Image Sharing with Saliency Detection |
| title_sort | meaningful secret image sharing with saliency detection |
| topic | secret image sharing random elements utilization model statistical correlation saliency detection meaningful shadows polynomial-based SIS |
| url | https://www.mdpi.com/1099-4300/24/3/340 |
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