A compressed secret image sharing method with shadow image verification capability
| Autor: | Xuehu Yan, Lin Tao Liu, Guo Zheng Yang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
secret image sharing
Computer science Image sharing 02 engineering and technology Grayscale Secret sharing shadow verification 0502 economics and business Shadow QA1-939 0202 electrical engineering electronic engineering information engineering Computer vision lossless recovery Bitwise operation Lossless compression business.industry Applied Mathematics Binary image 05 social sciences pixel compression loss tolerance General Medicine Computational Mathematics Modeling and Simulation Information hiding 020201 artificial intelligence & image processing Artificial intelligence General Agricultural and Biological Sciences business TP248.13-248.65 Mathematics 050203 business & management Biotechnology |
| Zdroj: | Mathematical Biosciences and Engineering, Vol 17, Iss 4, Pp 4295-4316 (2020) |
| ISSN: | 1551-0018 |
| Popis: | Secret image sharing (SIS) is an important research direction in information hiding and data security transmission. Since the generated shadow images (shares) are always noise-like, it is difficult to distinguish the fake share from the unauthorized participant before recovery. Even more serious is that an attacker with a fake share can easily collect shares of other honest participants. As a result, it is significant to verify the shares, before being taken out for recovery. Based on two mainstream methods of SIS, such as polynomial-based SIS and visual secret sharing(VSS), this paper proposed a novel compressed SIS with the ability of shadow image verification. Considering that the randomness of the sharing phase of polynomial-based SIS can be utilized, one out of shares of (2, 2)-threshold random-grid VSS is embedded into all shares of polynomial-based SIS by a XOR operation as the verification information, while the other binary share is private for verification. Before recovery, each participant must extract the binary share from the grayscale share to perform XOR operation with the private share, and the original binary image can be recovered only with the true share. The proposed scheme also has the characteristics of shadow image verification, pixel compression, loss tolerance and lossless recovery. Through experiments and comparative analysis of related research results, the effectiveness and advantages of the method are verified. |
| Databáze: | OpenAIRE |
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