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Image Processing Using FPGAs
Department of Mechanical and Electrical Engineering, School of Food and Advanced Technology, Massey University, Palmerston North 4442, New Zealand
J. Imaging 2019, 5(5), 53; https://doi.org/10.3390/jimaging5050053
Received: 6 May 2019 / Revised: 7 May 2019 / Accepted: 7 May 2019 / Published: 10 May 2019
(This article belongs to the Special Issue 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 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. View Full-Text
Keywords: field programmable gate arrays (FPGA); image processing; hardware/software co-design; memory management; segmentation; image analysis; compression
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Bailey, D.G. Image Processing Using FPGAs. J. Imaging 2019, 5, 53.
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Bailey DG. Image Processing Using FPGAs. Journal of Imaging. 2019; 5(5):53.Chicago/Turabian Style
Bailey, Donald G. 2019. "Image Processing Using FPGAs." J. Imaging 5, no. 5: 53.
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