Name
Abstract | ||
|---|---|---|
An inverse halftoning based steganalysis method of halftone images is proposed. In this method, the wavelet statistic features extracted from the reconstructed gray level image through the inverse halftoning of a given halftone image are used in our support vector machines classifier. Different inverse halftoning techniques are investigated including filtering based methods and projection based methods in reconstructing the gray level image. Filtering based and projection based detectors are then proposed and the performance of the steganalysis is compared based on these two detectors. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.sigpro.2008.12.002 | Signal Processing |
Keywords | Field | DocType |
inverse halftoning,gray level image,wavelet statistic,halftone image,reconstructed gray level image,different inverse halftoning technique,support vector machines classifier,steganalysis method,steganalysis,halftone image steganalysis,support vector machine,feature extraction | Iterative reconstruction,Steganography,Computer vision,Filter (signal processing),Image processing,Feature extraction,Halftone,Artificial intelligence,Steganalysis,Mathematics,Wavelet | Journal |
Volume | Issue | ISSN |
89 | 6 | Signal Processing |
Citations | PageRank | References |
4 | 0.45 | 19 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Cheng | 1 | 214 | 20.65 |
| Alex C. Kot | 2 | 1096 | 92.07 |