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Forensics image and video restoration
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SYSNO ASEP 0450637 Document Type A - Abstract R&D Document Type Není vybrán druh dokumentu Title Forensics image and video restoration Author(s) Zitová, Barbara (UTIA-B) RID, ORCID
Šroubek, Filip (UTIA-B) RID, ORCID
Kamenický, Jan (UTIA-B) RID, ORCID
Kotera, Jan (UTIA-B)
Šorel, Michal (UTIA-B) RID, ORCID
Bartoš, Michal (UTIA-B) ORCID
Flusser, Jan (UTIA-B) RID, ORCID
Šíma, Z. (CZ)
Švarc, P. (CZ)
Hořínek, J. (CZ)Number of authors 10 Source Title Abstract book of 7th European Academy of Forensic Science Conference. - Praha : Institute of Criminalistics Prague, 2015
EAFS-0743Number of pages 1 s. Publication form Print - P Action European Academy of Forensic Science Conference 2015 /7./ Event date 06.09.2015-11.09.2015 VEvent location Praha Country CZ - Czech Republic Event type EUR Language eng - English Country CZ - Czech Republic Keywords image restoration ; image forensics Subject RIV JD - Computer Applications, Robotics R&D Projects VG20102013064 GA MV - Ministry of Interior (MV) Institutional support UTIA-B - RVO:67985556 Annotation We have addressed image and video restoration in situations when the quality of acquired images or videos in terms of their noise level and sharpness is not sufficient and their improvement is strongly required. Nowadays forensic analysis is often based on the analysis of digital photographs and videos (segmentation, object detection, change analysis, to name a few), but not all the time their quality is sufficient for their efficient processing. Analyzed images and video can be blurred, noisy, with low resolution, or degraded in some other unknown way. The aim is to be able to combine all available information in order to produce restored image/video, which is sharper, with less noise and blur, and possibly with higher resolution, then the original data file. A methodology based on the blind deconvolution methods and the super-resolution forms a basis of proposed image quality enhancement and restoration methods. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2016
Number of the records: 1