Self-modifiable image processing library for model-based design on FPGAs
| Autor: | Santiago Sánchez-Solano, Egidio Ieno Junior, Alejandro José Cabrera Sarmiento, Piedad Brox Jiménez, Tales Cleber Pimenta, Luis Manuel Garcés-Socarrás |
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| Rok vydání: | 2019 |
| Předmět: |
Speedup
General Computer Science business.industry Computer science Design flow Image processing 02 engineering and technology Video processing Software 020204 information systems Model-based design 0202 electrical engineering electronic engineering information engineering Smart camera Electrical and Electronic Engineering business Field-programmable gate array Computer hardware |
| Zdroj: | IEEE Latin America Transactions. 17:742-750 |
| ISSN: | 1548-0992 |
| DOI: | 10.1109/tla.2019.8891942 |
| Popis: | This paper describes highly configurable hardware modules, included in XIL XSGImgLib library, capable of speed up the hardware implementation of video and image processing systems using the model-based design flow provided by Xilinx System Generator. As part of this work, generic architectures were developed to exploit specific characteristics of some processing blocks, which can be self-modified using a novel software procedure developed for MATLAB®. This procedure, along with the generic architecture and the configuration options, allows the abstraction about the specific details of the hardware implementation, as well as the adjustment of the resources consumption of the high-speed image and video processing application for embedded systems with weight, volume and power consumption constrains like smart cameras, video surveillance and autonomous vehicles. The use of this video and image processing library is illustrated by the development of a segmentation application on a Spartan-6 LX45 FPGA although any Xilinx’s FPGA is supported. |
| Databáze: | OpenAIRE |
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