0459504 20240103212235.920160523235959.9 84979243208 000378623200021 10.1016/j.forsciint.2016.04.027 14 s. cav_un_epca*02566270379-07382641 (2016)153-166Elsevier Image forensic analysis Image restoration Image tampering detection Image source identification cav_un_auth*0213251 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing 8 Kamenický Jan UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0312355 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing 7 Bartoš Michal UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101087 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing 7 Flusser Jan UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0206076 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing 7 Mahdian Babak UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0293863 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing 7 Kotera Jan UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0283562 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing 7 Novozámský Adam UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101189 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing 7 Saic Stanislav UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101209 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing 7 Šroubek Filip UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0108377 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing 7 Šorel Michal UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0293261 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing 7 Zita Aleš UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101238 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing 8 Zitová Barbara UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0076439 7 Šíma Z. CZ cav_un_auth*0322216 7 Švarc P. CZ cav_un_auth*0322217 7 Hořínek J. CZ http://library.utia.cas.cz/separaty/2016/ZOI/kamenicky-0459504.pdf cav_un_auth*0273814 VG20102013064 GA MV cav_un_auth*0292734 GA13-29225S GA ČR This paper introduces a set of methods for image and video forensic analysis. They were designed to help to assess image and video credibility and origin and to restore and increase image quality by diminishing unwanted blur, noise, and other possible artifacts. The motivation came from the best practices used in the criminal investigation utilizing images and/or videos. The determination of the image source, the verification of the image content, and image restoration were identified as the most important issues of which automation can facilitate criminalists work. Novel theoretical results complemented with existing approaches (LCD re-capture detection and denoising) were implemented in the PIZZARO software tool, which consists of the image processing functionality as well as of reporting and archiving functions to ensure the repeatability of image analysis procedures and thus fulfills formal aspects of the image/video analysis work. Comparison of new proposed methods with the state of the art approaches is shown. Real use cases are presented, which illustrate the functionality of the developed methods and demonstrate their applicability in different situations. The use cases as well as the method design were solved in tight cooperation of scientists from the Institute of Criminalistics, National Drug Headquarters of the Criminal Police and Investigation Service of the Police of the Czech Republic, and image processing experts from the Czech Academy of Sciences. JD 2017 14 4 A hod 4ah 20231122141705.8 RVO:67985556 http://hdl.handle.net/11104/0260023 cav_un_auth*0320016 Kriminalistický ústav Praha CZ 1 Department of Image Processing UTIA-B 10200 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS S 1 Article|Proceedings Paper Medicine Legal MEDICINE.LEGAL 2.307 0.411 8 0.0169 0.581 12323 1.096 Q1 1.572 416 Q2 73.359 70 Q2 Q2 70 2016 Soubory v repozitáři: kamenicky-0459504.pdf 84979243208 SCOPUS 000378623200021 WOS cav_un_epca*0256627 Forensic Science International 0379-0738 1872-6283 Roč. 264 č. 1 2016 153 166 Elsevier