Name
Abstract | ||
|---|---|---|
Since the recovery of SIS is based on mathematical operations (such as Lagrange interpolation, XOR, etc), when transmitted over the internet, images are usually filtered, sampled and so on, which makes the existing secret image sharing (SIS) schemes inapplicable. In this paper, we propose a model of meaningful SIS scheme resist to typical image processing of shadows. First, the shadows are generated by extended polynomial-based SIS. Then, through pixel expansion, pixel assignment and fine adjustment, the intermediate shadows are obtained, where the intermediate shadows are consistent with the original shadows after image processing and extraction. We derive three specific algorithms for (k,n) threshold lossless meaningful SIS resist to three kinds of image processing from the model respectively. Further, the analysis of shadows quality is given. Three groups of experiments show the feasibility of the proposed method, and the general model is especially effective against down-sampling and filtering. Besides, the scheme obtains better attributes, such as lossless recovery, (k,n) threshold and meaningful shares. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1007/s11042-022-12207-5 | Multimedia Tools and Applications |
Keywords | DocType | Volume |
Secret image sharing, Polynomial-based SIS, Image processing, Meaningful shares, Lossless recovery | Journal | 81 |
Issue | ISSN | Citations |
11 | 1380-7501 | 0 |
PageRank | References | Authors |
0.34 | 12 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yue Jiang | 1 | 0 | 1.35 |
| Xuehu Yan | 2 | 0 | 0.34 |
| Jianqing Qi | 3 | 0 | 0.34 |
| Longlong Li | 4 | 3 | 1.73 |
| Yiming Liu | 5 | 0 | 0.34 |