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Hardware implementation of an image processing application based on the "system on a chip" technology
Authors
	Fahmi S.S.
	Malygin I.G.
	Korolev O.A.
Date of publication
	2022
DOI
	10.31114/2078-7707-2022-4-50-55
Abstract
	The growing complexity of modern video information processing systems and the limited time frame for their design require the use of new development tools used in modern computer-aided design systems and based on programmable logic integrated circuits (FPGAs). Currently, in addition to the traditional hardware description languages (hardware description languages - HDL), high-level synthesis tools (High Level Synthesis - HLS) of microarchitectures are gaining more and more popularity, the advantage of which is to increase the level of abstraction in the development of various signal processing systems, in particular images in the field of transport. Despite the ease of design and testing compared to HDL, when using HLS, it is necessary to take into account the shortcomings that appear in the generation of hardware descriptions inherent in this approach. In the article, using the example of designing the well-known Canny filter, which makes it possible to highlight the boundaries of transport objects in images when solving detection and recognition problems, a comparative study of two methods for synthesizing digital image processing devices: HLS and HDL is presented. The results of a comparison of two implementations of HDL and HLS, obtained on the basis of an estimate of computational resources and operation execution time, are presented. Since the Canny filter, like many other edge detection filters, is convolutional, this work allows us to evaluate the strengths and weaknesses of any operator in the field of image processing. The study showed that, given the resources involved and response time, the HLS implementation performed better in terms of resource utilization and response time than the HDL approach.
Keywords
	FPGA, Kenny filter, HDL, HLS, configuration, system on chip.
Library reference
	Fahmi S.S., Malygin I.G., Korolev O.A. Hardware implementation of an image processing application based on the "system on a chip" technology // Problems of Perspective Micro- and Nanoelectronic Systems Development - 2022. Issue 4. P. 50-55. doi:10.31114/2078-7707-2022-4-50-55
URL of paper
	http://www.mes-conference.ru/data/year2022/pdf/D066.pdf