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Image Stabilization
Ohrádka, Marek ; Beneš, Radek (oponent) ; Číka, Petr (vedoucí práce)
This thesis deals with digital image stabilization. It contains a brief overview of the problem and available methods for digital image stabilization. The aim was to design and implement image stabilization system in JAVA, which is designed for RapidMiner. Two new stabilization methods have been proposed. The first is based on the motion estimation and motion compensation using Full-search and Three-step search algorithms. The basis of the second method is the detection of object boundaries. The functionality of the proposed method was tested on video sequences with contain visible shake of the scene, which has beed created for this purpose. Testing results show that with the proper set of input parameters for the object border detection method, successful stabilization of the scene is achieved. The rate of error reduction between images is approximately about 65 to 85%. The output of the method is stabilized image sequence and a set of metadata collected during stabilization, which can be further processed in an environment of RapidMiner.
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Hardware Accelerated Digital Image Stabilization in a Video Stream
Pacura, Dávid ; Orság, Filip (oponent) ; Drahanský, Martin (vedoucí práce)
The aim of this thesis is to propose a new method for digital image stabilization in video stream by exploiting computing power of GPGPU. This unit enables a real time stabilization of high resolution digital video sequences, which is important for further post-processing in computer vision and/or military applications. In order to compare available architectures for GPGPU programming, the proposed algorithm is implemented in three major frameworks. Results are then compared and discussed.
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Hardware Accelerated Digital Image Stabilization in a Video Stream
Pacura, Dávid ; Orság, Filip (oponent) ; Drahanský, Martin (vedoucí práce)
The aim of this thesis is to propose a new method for digital image stabilization in video stream by exploiting computing power of GPGPU. This unit enables a real time stabilization of high resolution digital video sequences, which is important for further post-processing in computer vision and/or military applications. In order to compare available architectures for GPGPU programming, the proposed algorithm is implemented in three major frameworks. Results are then compared and discussed.
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Image Stabilization
Ohrádka, Marek ; Beneš, Radek (oponent) ; Číka, Petr (vedoucí práce)
This thesis deals with digital image stabilization. It contains a brief overview of the problem and available methods for digital image stabilization. The aim was to design and implement image stabilization system in JAVA, which is designed for RapidMiner. Two new stabilization methods have been proposed. The first is based on the motion estimation and motion compensation using Full-search and Three-step search algorithms. The basis of the second method is the detection of object boundaries. The functionality of the proposed method was tested on video sequences with contain visible shake of the scene, which has beed created for this purpose. Testing results show that with the proper set of input parameters for the object border detection method, successful stabilization of the scene is achieved. The rate of error reduction between images is approximately about 65 to 85%. The output of the method is stabilized image sequence and a set of metadata collected during stabilization, which can be further processed in an environment of RapidMiner.
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