0381683 20240103201331.220121105235959.9 000297559800007 10.1117/12.872510 2 s. P cav_un_epca*0382562978-0-8194-8417-80277-786XWashingtonSPIE2011 image forgery 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/2012/ZOI/mahdian-identifying image forgeries using change points detection.pdf GA102/08/0470 GA ČR cav_un_auth*0239565 VG20102013064 GA MV cav_un_auth*0273814 CEZ:AV0Z10750506 In this paper, we show that methods detecting multiple change points in a discrete distribution of variables can play an effective role in identifying image tampering. Methods analyzing change points deal with detecting abrupt changes in the characteristics of signals. Methods dealing with detecting image tampering isolate a subset of the given image that is significantly different from the rest. Apparently, both groups of methods have similar goals and thus there might be an interesting synergy between these two research fields. Change points detection algorithms can help in automatically detecting altered parts of digital images without any previous training or complicated threshold settings. cav_un_auth*0284376 SPIE Electronic Imaging, Media Watermarking, Security, and Forensics III San Francisco 22.01.2011-23.01.2011 US 2013 JC 2 PR http://hdl.handle.net/11104/0212098 90 0.218 13.02 0.3 2011 000297559800007 WOS cav_un_epca*0382562 Media Watermarking, Security, and Forensics III 978-0-8194-8417-8 0277-786X 788008-1-780808-2 Washington SPIE 2011