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Image Processing Using FPGAs
Nine articles have been published in this Special Issue on image processing using field programmable gate arrays (FPGAs). The papers address a diverse range of topics relating to the application of FPGA technology to accelerate image processing tasks. The range includes: Custom processor design to r...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320965/ https://www.ncbi.nlm.nih.gov/pubmed/34460491 http://dx.doi.org/10.3390/jimaging5050053 |
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author | Bailey, Donald G. |
author_facet | Bailey, Donald G. |
author_sort | Bailey, Donald G. |
collection | PubMed |
description | Nine articles have been published in this Special Issue on image processing using field programmable gate arrays (FPGAs). The papers address a diverse range of topics relating to the application of FPGA technology to accelerate image processing tasks. The range includes: Custom processor design to reduce the programming burden; memory management for full frames, line buffers, and image border management; image segmentation through background modelling, online K-means clustering, and generalised Laplacian of Gaussian filtering; connected components analysis; and visually lossless image compression. |
format | Online Article Text |
id | pubmed-8320965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83209652021-08-26 Image Processing Using FPGAs Bailey, Donald G. J Imaging Editorial Nine articles have been published in this Special Issue on image processing using field programmable gate arrays (FPGAs). The papers address a diverse range of topics relating to the application of FPGA technology to accelerate image processing tasks. The range includes: Custom processor design to reduce the programming burden; memory management for full frames, line buffers, and image border management; image segmentation through background modelling, online K-means clustering, and generalised Laplacian of Gaussian filtering; connected components analysis; and visually lossless image compression. MDPI 2019-05-10 /pmc/articles/PMC8320965/ /pubmed/34460491 http://dx.doi.org/10.3390/jimaging5050053 Text en © 2019 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Editorial Bailey, Donald G. Image Processing Using FPGAs |
title | Image Processing Using FPGAs |
title_full | Image Processing Using FPGAs |
title_fullStr | Image Processing Using FPGAs |
title_full_unstemmed | Image Processing Using FPGAs |
title_short | Image Processing Using FPGAs |
title_sort | image processing using fpgas |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320965/ https://www.ncbi.nlm.nih.gov/pubmed/34460491 http://dx.doi.org/10.3390/jimaging5050053 |
work_keys_str_mv | AT baileydonaldg imageprocessingusingfpgas |