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Web pro zpracování HDR obrazu a videa
Beran, Martin ; Beran, Vítězslav (oponent) ; Čadík, Martin (vedoucí práce)
Hlavním cílem této bakalářské práce je vytvoření webového systému, pomocí kterého lze převádět fotografie a videozáznamy do formátu HDR a ty pak dále upravovat a zobrazit. Během zpracování a úpravy lze sledovat aktuální vzhled na miniatuře výsledné fotografie. Po dokončení úprav lze výsledný soubor zobrazit a stáhnout v plném rozlišení. Pro interakci s uživatelem je připraveno rozhraní pro nahrávání fotografií a sada operátorů a filtrů pro jejich úpravu.
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HDR Image Artifact Compensation
Müllerová, Věra ; Zemčík, Pavel (oponent) ; Musil, Martin (vedoucí práce)
This thesis deals with a synthesis of high dynamic range imaging (HDRI). HDRI technology is becoming increasingly popular in recent years. A standard and most common approach to obtain an HDR image is a multiple exposures fusion that consists of combining multiple images of the same scene captured with different exposure times. This technique works perfectly only on static scenes. However, if there is a motion in the scene during a sequence acquisition, a resultant HDR image contains ghosting artefacts due to moving objects in the captured scene. Basic information about HDRI are presented in this thesis. The main focus is given to de-ghosting methods that are reviewed and two of them - a bitmap movement detection based on a median threshold and a histogram based ghost detection - are presented as suitable techniques for a real-time video capturing and implementation on FPGA (Field-Programmable Gate Array) architecture. These two methods are implemented in C++ programming language as prototypes. Moreover, a modification of histogram-based ghost detection is proposed, implemented and discussed to simplify its implementation on FPGA architecture.
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HDR Video Plugin for Adobe Premier
Svatý, Lukáš ; Musil, Martin (oponent) ; Zemčík, Pavel (vedoucí práce)
The goal of this thesis is to enable support for editing HDR video. For this purposes, Adobe Premiere Pro was chosen and to achieve specified results, plug-in to Adobe Premiere Pro was developed. This thesis describes fundamental points of creating, displaying and storing high dynamic range content. Principles of plug-in development for Adobe Premiere Pro CS6 SDK are mentioned. Details of implementation, problems solved during the development process and description of the final plug-in providing support for HDR content inside Adobe Premiere Pro in the part of this thesis dealing with implementation. The design was done based on future development on this plug-in, adding additional functionality and for usage of this thesis on future progress in high dynamic range field.
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Web pro zpracování HDR obrazu a videa
Beran, Martin ; Beran, Vítězslav (oponent) ; Čadík, Martin (vedoucí práce)
Hlavním cílem této bakalářské práce je vytvoření webového systému, pomocí kterého lze převádět fotografie a videozáznamy do formátu HDR a ty pak dále upravovat a zobrazit. Během zpracování a úpravy lze sledovat aktuální vzhled na miniatuře výsledné fotografie. Po dokončení úprav lze výsledný soubor zobrazit a stáhnout v plném rozlišení. Pro interakci s uživatelem je připraveno rozhraní pro nahrávání fotografií a sada operátorů a filtrů pro jejich úpravu.
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HDR Video Plugin for Adobe Premier
Svatý, Lukáš ; Musil, Martin (oponent) ; Zemčík, Pavel (vedoucí práce)
The goal of this thesis is to enable support for editing HDR video. For this purposes, Adobe Premiere Pro was chosen and to achieve specified results, plug-in to Adobe Premiere Pro was developed. This thesis describes fundamental points of creating, displaying and storing high dynamic range content. Principles of plug-in development for Adobe Premiere Pro CS6 SDK are mentioned. Details of implementation, problems solved during the development process and description of the final plug-in providing support for HDR content inside Adobe Premiere Pro in the part of this thesis dealing with implementation. The design was done based on future development on this plug-in, adding additional functionality and for usage of this thesis on future progress in high dynamic range field.
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HDR Image Artifact Compensation
Müllerová, Věra ; Zemčík, Pavel (oponent) ; Musil, Martin (vedoucí práce)
This thesis deals with a synthesis of high dynamic range imaging (HDRI). HDRI technology is becoming increasingly popular in recent years. A standard and most common approach to obtain an HDR image is a multiple exposures fusion that consists of combining multiple images of the same scene captured with different exposure times. This technique works perfectly only on static scenes. However, if there is a motion in the scene during a sequence acquisition, a resultant HDR image contains ghosting artefacts due to moving objects in the captured scene. Basic information about HDRI are presented in this thesis. The main focus is given to de-ghosting methods that are reviewed and two of them - a bitmap movement detection based on a median threshold and a histogram based ghost detection - are presented as suitable techniques for a real-time video capturing and implementation on FPGA (Field-Programmable Gate Array) architecture. These two methods are implemented in C++ programming language as prototypes. Moreover, a modification of histogram-based ghost detection is proposed, implemented and discussed to simplify its implementation on FPGA architecture.
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