Name
Abstract | ||
|---|---|---|
Based on the wavelet transform, a new progressive sharing scheme is proposed to share a secret image into several shadow images using SPIHT encoding processes and Shamir's threshold scheme. Quality refinement of the recovered image is achieved by the data consumed from the threshold number (r) of shadow images and each single shadow image reveals no information about the secret image. The size of each shadow image is smaller than 1/r of the secret image and any number of shadow images that is less than r reveals no information about the secret image. The proposed approach is secure for image sharing and provides excellent peak signal-to-noise ratio (PSNR) versus rate performance. Experimental results have demonstrated the promising performance of this method in progressive sharing. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.jss.2009.10.012 | Journal of Systems and Software |
Keywords | Field | DocType |
image sharing,new progressive sharing scheme,shadow image,single shadow image,rate performance,secret image,secret sharing,progressive sharing,spiht,threshold number,promising performance,wavelet transform,peak signal to noise ratio | Computer vision,Shadow,Set partitioning in hierarchical trees,Computer science,Image sharing,Artificial intelligence,Encoding (memory),Wavelet transform | Journal |
Volume | Issue | ISSN |
83 | 3 | The Journal of Systems & Software |
Citations | PageRank | References |
14 | 0.92 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chin-Pan Huang | 1 | 57 | 7.56 |
| Chaur-Heh Hsieh | 2 | 354 | 46.89 |
| Ping Sheng Huang | 3 | 20 | 3.12 |