FPGA Implementations of Algorithms for Preprocessing of High Frame Rate and High Resolution Image Streams in Real Time
| Autor: | Markus Plattner, Uros Hudomalj, Christopher Mandla |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
050210 logistics & transportation
General Computer Science Computer science 020209 energy 05 social sciences Image processing 02 engineering and technology Frame rate Toolbox Image (mathematics) 0502 economics and business 0202 electrical engineering electronic engineering information engineering Preprocessor Camera Link Electrical and Electronic Engineering Field-programmable gate array MATLAB computer Algorithm computer.programming_language |
| Zdroj: | Annals of Emerging Technologies in Computing. 5:50-61 |
| ISSN: | 2516-029X 2516-0281 |
| DOI: | 10.33166/aetic.2021.02.005 |
| Popis: | This paper presents FPGA implementations of image filtering and image averaging – two widely applied image preprocessing algorithms. The implementations are targeted for real time processing of high frame rate and high resolution image streams. The developed implementations are evaluated in terms of resource usage, power consumption, and achievable frame rates. For the evaluation, Microsemi’s Smartfusion2 Advanced Development Kit is used. It includes a SmartFusion2 M2S150 SoC FPGA. The performance of the developed implementation of image filtering algorithm is compared to a solution provided by MATLAB’s Vision HDL Toolbox, which is evaluated on the same platform. The performance of the developed implementations are also compared with FPGA implementations found in existing publications, although those are evaluated on different FPGA platforms. Difficulties with performance comparison between implementations on different platforms are addressed and limitations of processing image streams with FPGA platforms discussed. |
| Databáze: | OpenAIRE |
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