University of Bahrain
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Design and Implementation of Image Processing Application with Zynq SoC

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dc.contributor.author Dharmavaram Asha Devi, Niharika Reddy Kathula, Gopinath Kalluri, and Leela Sai Bondalapati
dc.date.accessioned 2023-07-02T02:44:53Z
dc.date.available 2023-07-02T02:44:53Z
dc.date.issued 2023-07-01
dc.identifier.issn 2210-142X
dc.identifier.uri https://journal.uob.edu.bh:443/handle/123456789/4969
dc.description.abstract Human brains can depict images much easier than texts and images convey a lot more information that is the reason why images are used as branding and advertisements. Digital image processing is the major technology that needs more simple algorithms to implement. In this paper, we implemented Image processing operations like Brightness, Inversion, and Threshold operations on FPGA using the Xilinx Vivado tool. The prototype verification is done with Zynq processing system (ZPS) interfaced with OLEDrgb peripheral module in Xilinx and Software Development Kit (SDK) tool environment. The proposed design is Zynq architecture based technology that is efficient for real-time embedded applications because of the ARM9 processing system with Software Development Kit is used for application software. The advantage of the proposed system is power efficient, high performance and flexible enhancement of the functionalities because of the re-configurable Zynq SoC. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.subject Field Programmable Gate Array en_US
dc.subject Inversion, Software Development Kit en_US
dc.subject Threshold en_US
dc.subject Zynq SoC. en_US
dc.title Design and Implementation of Image Processing Application with Zynq SoC en_US
dc.identifier.doi http://dx.doi.org/10.12785/ijcds/140129
dc.volume 14 en_US
dc.issue 1 en_US
dc.pagestart 377 en_US
dc.pageend 385 en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US


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