Name
Abstract | ||
|---|---|---|
Minimal distortion steganography is the most successful model for adaptive steganography, in which the cost function determines the security. Texture complexity is the major factor in defining cost function in images. In this paper, we proposed a method to improve the cost function of JPEG steganography by exploiting the texture in microscale. The proposed scheme is designed by using a “microscope... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TIFS.2018.2869353 | IEEE Transactions on Information Forensics and Security |
Keywords | Field | DocType |
Transform coding,Distortion,Discrete cosine transforms,Security,Cost function,Computational complexity,Microscopy | Unsharp masking,Steganography,Computer vision,Computer science,Discrete cosine transform,Filter (signal processing),Transform coding,JPEG,Artificial intelligence,Distortion,Computational complexity theory | Journal |
Volume | Issue | ISSN |
14 | 4 | 1556-6013 |
Citations | PageRank | References |
3 | 0.38 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kejiang Chen | 1 | 50 | 10.55 |
| Hang Zhou | 2 | 72 | 14.04 |
| Wenbo Zhou | 3 | 29 | 6.28 |
| Weiming Zhang | 4 | 1104 | 88.72 |
| Nenghai Yu | 5 | 2238 | 183.33 |