Forensics image and video restoration
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00450637" target="_blank" >RIV/67985556:_____/15:00450637 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Forensics image and video restoration
Popis výsledku v původním jazyce
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 basedon 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 lowresolution, 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.
Název v anglickém jazyce
Forensics image and video restoration
Popis výsledku anglicky
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 basedon 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 lowresolution, 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.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
JD - Využití počítačů, robotika a její aplikace
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/VG20102013064" target="_blank" >VG20102013064: Prostředky pro identifikaci obrazového záznamového zařízení, autentifikaci a rekonstrukci obrazu</a><br>
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů