IMAGE AND VIDEO PROCESSING ON XILINX ZYNQ ULTRASCALE+ MPSoC

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dc.contributor.author Selmanhasko, Kevin
dc.date.accessioned 2025-01-23T13:16:51Z
dc.date.available 2025-01-23T13:16:51Z
dc.date.issued 2024-02-28
dc.identifier.uri http://dspace.epoka.edu.al/handle/1/2385
dc.description.abstract Field-programmable gate arrays (FPGAs) have become a popular choice for high- speed data transmission systems due to their high performance and flexibility. FPGA- based systems are increasingly being used in various applications, such as radar, medical imaging, autonomous driving, and quantum computing. Within this paper, a detailed examination is presented, offering insights into FPGA-centric image and video processing, accompanied by a thorough exploration of the associated design considerations. The FPGA used in this thesis is the ZCU104. The advantages of FPGA- based systems, including high-speed data processing, low latency, and reconfigurability are discussed. The paper also emphasizes certain challenges and limitations associated with the design of FPGA-based data transmission systems. To illustrate the practicality of FPGA data processing, PYNQ has been used as it contains Open Computer Vision Library (CV). The main focus has been implementation and comparison of different methods used for image and video processing. In order to measure the performance of these algorithms, several aspects have been taken into consideration such as accuracy or frame rate. In addition, the limitations of this hardware have been discussed. The aim of this thesis is analyzing the performance of these processing algorithms and what can be done for future improvements. Overall FPGA are an excellent choice compared to the traditional approaches. en_US
dc.language.iso en en_US
dc.subject FPGA, PYNQ, Image Processing, Video Processing. en_US
dc.title IMAGE AND VIDEO PROCESSING ON XILINX ZYNQ ULTRASCALE+ MPSoC en_US
dc.type Thesis en_US


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