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Hardware-based Light-field reconstruction
Betreuer M.Eng. Trung Hieu Tran
Prüfer Prof. Dr.-Ing. Sven Simon

Light-field cameras provides an efficient way to capture the scene from different viewpoints with only a single shot. The Light-field data acquired from these cameras can be later processed for generating by-choice focused images or depth-map of the scene. However these processes (referred as reconstruction) are computationally expensive tasks that limit the use of Light-field camera for real-time applications (video Light-field, object tracking, face recognition…). This limitation leads to the high demand of hardware-based Light-field reconstruction that could speeding up the process and therefore give rise to many successive applications.

Goals of this thesis: In this master thesis / Diplomarbeit a suitable hardware architecture for Light-field reconstruction will be explored and implemented on FPGA (Field Programmable Gate Array) platform. FPGA is a widely used platform for image processing application because of its high capability of parallelism and reconfiguration. The related algorithms are first implemented and experimented with MATLAB in order to analyze its suitability for hardware implementation. Then selected algorithm will be implemented on FPGA. The results of hardware-based and software-based implementation will be compared in terms of both quality and performance. The duration of the thesis will be 6 months (full-time).


  • Knowledge of VHDL
  • Knowledge of Matlab is an advance


Trung Hieu Tran (trung.hieu.tran@ipvs.uni-stuttgart.de)

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