Abstract | ||
---|---|---|
Median filtering is used as an anti-forensic technique to erase processing history of some image manipulations such as JPEG, resampling, etc. Thus, various detectors have been proposed to detect median filtered images. To counter these techniques, several anti-forensic methods have been devised as well. However, restoring the median filtered image is a typical ill-posed problem, and thus it is sti... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/LSP.2017.2782363 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Generators,Image restoration,Forensics,Gallium nitride,Image reconstruction,Detectors,Convolution | Median filter,Pattern recognition,Convolutional neural network,JPEG,Artificial intelligence,Image restoration,Detector,Resampling,Mathematics,Adversarial system | Journal |
Volume | Issue | ISSN |
25 | 2 | 1070-9908 |
Citations | PageRank | References |
3 | 0.37 | 24 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dongkyu Kim | 1 | 205 | 22.97 |
Han-Ul Jang | 2 | 26 | 5.44 |
Seung-Min Mun | 3 | 14 | 2.24 |
Sunghee Choi | 4 | 19 | 3.03 |
Heung-kyu Lee | 5 | 1016 | 87.53 |