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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.
Úplný záznam
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.
Úplný záznam

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