Name
Abstract | ||
|---|---|---|
In this paper, we present a steganalytic method that can reliably detect messages (and estimate their size) hidden in JPEG images using the steganographic algorithm F5. The key element of the method is estimation of the cover-image histogram from the stego-image. This is done by decompressing the stego-image, cropping it by four pixels in both directions to remove the quantization in the frequency domain, and recompressing it using the same quality factor as the stego-image. The number of relative changes introduced by F5 is determined using the least square fit by comparing the estimated histograms of selected DCT coefficients with those of the stego-image. Experimental results indicate that relative modifications as small as 10% of the usable DCT coefficients can be reliably detected. The method is tested on a diverse set of test images that include both raw and processed images in the JPEG and BMP formats. |
Year | Venue | Keywords |
|---|---|---|
2002 | Information Hiding | f5 algorithm,bmp format,usable dct coefficient,steganographic algorithm f5,relative change,steganalytic method,cover-image histogram,jpeg images,selected dct coefficient,relative modification,diverse set,jpeg image,frequency domain,least square,quality factor |
Field | DocType | Volume |
Histogram,Computer science,Discrete cosine transform,Image processing,Theoretical computer science,Artificial intelligence,Quantization (image processing),Computer vision,Algorithm,JPEG,Pixel,Steganalysis,Quantization (signal processing) | Conference | 2578 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-00421-1 | 164 |
PageRank | References | Authors |
12.39 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jessica Fridrich | 1 | 8014 | 592.05 |
| Miroslav Goljan | 2 | 2430 | 221.88 |
| Dorin Hogea | 3 | 230 | 19.49 |