A general-purpose FPGA-based reconfigurable platform for video and image processing

Jie Li, Haibo He, Hong Man, Sachi Desai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Scopus citations

Abstract

This paper presents a general-purpose, multi-task, and reconfigurable platform for video and image processing. With the increasing requirements of processing power in many of today's video and image processing applications, it is important to go beyond the software implementation to provide a real-time, low cost, high performance, and scalable hardware platform. In this paper, we propose a system by using the powerful parallel processing architecture in the Field Programmable Gate Array (FPGA) to achieve this objective. Based on the proposed system level architecture and design strategies, a prototype system is developed based on the Xilinx Virtex-II FPGA with the integration of embedded processor, memory control and interface technologies. Our system includes different functional modules, such as edge detection, zoom-in and zoom-out functions, which provides the flexibility of using this system as a general video processing platform according to different application requirements. The final system utilizes about 20% of logic resource, 50% of memory on chip, and has total power consumption around 203 mw.

Original languageEnglish
Title of host publicationAdvances in Neural Networks - ISNN 2009 - 6th International Symposium on Neural Networks, ISNN 2009, Proceedings
Pages299-309
Number of pages11
EditionPART 3
DOIs
StatePublished - 2009
Event6th International Symposium on Neural Networks, ISNN 2009 - Wuhan, China
Duration: 26 May 200929 May 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume5553 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Symposium on Neural Networks, ISNN 2009
Country/TerritoryChina
CityWuhan
Period26/05/0929/05/09

Keywords

  • Edge detection
  • FPGA design
  • Image scaling
  • Reconfigurable system
  • Video and image processing

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