0571179 20240402213827.720230426235959.9 5 s. C cav_un_epca*0571202979-8-3503-3607-8PiscatawayIEEE2023 superresolution image enhancement video processing image/video forensics cav_un_auth*0101087 Flusser Jan UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101209 Šroubek Filip UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0213251 Kamenický Jan UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101238 Zitová Barbara UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2023/ZOI/flusser-0571179.pdf GA21-03921S GA ČR cav_un_auth*0412209 VJ02010029 GA MV CZ cav_un_auth*0449227 Visual data, such as images and videos, are frequently used as evidence in court trials. If the data quality is insufficient to convince the court, a carefully tailored data processing algorithm supported with expert’s opinion is necessary. We present two real cases from our forensic expertise practice, in which we demonstrate a successful application of video superresolution that helped to convict offenders. The most important feature of image processing algorithms to be legally accepted by the court, is to rule out artifacts with realistic details, which are known to appear for example in deep learning methods. cav_un_auth*0449226 International Workshop on Biometrics and Forensics 2023 - IWBF2023 /11./ 20230419 20230420 Barcelona ES JD 20000 20200 20204 2024 4 PO RVO:67985556 https://hdl.handle.net/11104/0342476 1 S 2023 SCOPUS PUBMED WOS cav_un_epca*0571202 Proceedings of the 11th International Workshop on Biometrics and Forensics - IWBF2023 IEEE 2023 Piscataway 979-8-3503-3607-8