0355073 20240103194713.420110218235959.9 9 s. cav_un_epca*0356678978-3-540-75175-5187-195BerlinSpringer Verlag2007KurzynskiMarek PuchalaEdward Image forensics Blind forgery detection Image tampering cav_un_auth*0206076 Mahdian Babak Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101189 Saic Stanislav Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2011/ZOI/mahdian-detection of near-duplicated image regions.pdf CEZ:AV0Z10750506 The method is based on blur moment invariants, which allows successful detection of copy—move forgery, even when blur degradation, additional noise, or arbitrary contrast changes are present in the duplicated regions. These modifications are commonly used techniques to conceal traces of copy—move forgery. Our method works equally well for lossy format such as JPEG. cav_un_auth*0268868 Fifth International Conference on Computer Recognition Systems Wroclaw 22.10.2007-25.10.2007 PL 2011 IN http://hdl.handle.net/11104/0193922 2007 cav_un_epca*0356678 Computer Recognition Systems 2 978-3-540-75175-5 187 195 Berlin Springer Verlag 2007 Advanes in Soft Computing 45 Kurzynski Marek 340 Puchala Edward 340