Name
Abstract | ||
|---|---|---|
ABSTRACT Steganography is the art and science of hiding information in an innocuous medium. Digital imagery is a medium,with specific noise characteristics. The devices used to capture a digital image, such as the charge coupled device (CCD) in a digital camera is designed to have a relatively small noise characteristic. This noise characteristic is often reduced by the compression used such as the JPEG standard, resulting in a very low noise media. The addition of steganographyto the image ,has the effect of introducing ,changes ,to this “natural” image noise. This paper presents an approach ,to estimate and model ,the noise present in an ,image. Using this estimation, it is shown how steganography introduces detectable changes to this natural noise. This approach ,is demonstrated on three freely available but difficult to detect embedding techniques, F5, JSteg, and Model-based embedding, and show that it results in features that serve as statistically significant discriminators. Index Terms— Blind steganalysis, Noise variance |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICIP.2007.4378980 | Image Processing, 2007. ICIP 2007. IEEE International Conference |
Keywords | Field | DocType |
cryptography,data encapsulation,image coding,JPEG standard,blind steganalysis,charge coupled device,digital camera,digital imagery,information hiding,natural image noise,noise variance estimation,steganography,Blind steganalysis,Noise variance estimation,Steganography | Steganography,Computer vision,Median filter,Noise measurement,Pattern recognition,Computer science,Dark-frame subtraction,Digital image,Image noise,Artificial intelligence,Steganalysis,Gaussian noise | Conference |
Volume | ISSN | ISBN |
1 | 1522-4880 E-ISBN : 978-1-4244-1437-6 | 978-1-4244-1437-6 |
Citations | PageRank | References |
2 | 0.40 | 2 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christopher B. Smith | 1 | 17 | 2.77 |