Projects per year
Abstract
The traditional visual secret sharing (VSS) schemes share a secret image into multiple shares, and all the shares have the same importance. However, it is occasionally necessary to differentiate participants based on their different levels of importance in certain applications. In previous works, some weighted VSS schemes were implemented only for the (k,n) threshold access structure and were not applicable to other access structures. In this paper, a weighted VSS scheme is proposed for general access structures (GAS) based on random grids (RG). For the different qualified sets of shares, the amount of information we get about the secret image is different because the total weight of the shares participating in the recovery process is different. Moreover, both OR and XOR operations can be applied to recover the secret image, which can extend the applications of our scheme. For the same minimal qualified set, we can obtain better visual quality by stacking (XOR-ing) more shares. In addition, we can obtain the lossless secret image by performing the XOR operation on all shares. More importantly, our scheme is suitable for GAS; however, it has certain limitations in the weight assignment of participants for the non-threshold access structures. Finally, experiments and comparisons demonstrate the effectiveness of our scheme.
| Original language | English |
|---|---|
| Article number | 116129 |
| Journal | Signal Processing: Image Communication |
| Volume | 92 |
| Online published | 4 Jan 2021 |
| DOIs | |
| Publication status | Published - Mar 2021 |
Research Keywords
- General access structures
- Multiple decryptions
- Random grid
- Visual secret sharing
- Weighted
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Dive into the research topics of 'Weighted visual secret sharing for general access structures based on random grids'. Together they form a unique fingerprint.Projects
- 3 Finished
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GRF: Intelligent Ultra High Definition Video Encoder Optimization for Future Versatile Video Coding
KWONG, T. W. S. (Principal Investigator / Project Coordinator), KUO, J. (Co-Investigator), WANG, S. (Co-Investigator) & ZHOU, M. (Co-Investigator)
1/01/20 → 5/09/23
Project: Research
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GRF: Learning-based Complexity Control for High Efficiency Video Coding and Beyond
KWONG, T. W. S. (Principal Investigator / Project Coordinator), GAO, W. (Co-Investigator) & Zhao, T. (Co-Investigator)
1/01/18 → 19/11/20
Project: Research
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GRF: Multiclass Classification for Effective Mode Decision in High Efficiency Video Coding and Beyond
KWONG, T. W. S. (Principal Investigator / Project Coordinator), WANG, R. (Co-Investigator) & Zhang, Y. (Co-Investigator)
1/01/17 → 26/08/20
Project: Research