Title
Median Filtered Image Restoration and Anti-Forensics Using Adversarial Networks.
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 Kim120522.97
Han-Ul Jang2265.44
Seung-Min Mun3142.24
Sunghee Choi4193.03
Heung-kyu Lee5101687.53