Optimal periodic memory allocation for image processing with multiple windows

Yasuhiro Kobayashi, Masanori Hariyama, Michitaka Kameyama

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

One major issue in designing image processors is to design a memory system that supports parallel access with a simple interconnection network. This paper presents an efficient memory allocation to minimize the number of memory modules and processing elements with a parallel access capability when multiple windows with arbitrary shapes are specified. This paper also presents an efficient search method based on regularity of window-type image processing. We give some practical examples including a stereo-matching processor for acquiring 3-D information, and an optical-flow processor for motion estimation. These examples show that the numbers of memory modules are reduced to 2.7% and 10%, respectively, in comparison with a basic approach. It is also shown that the search time is less than 1 ms for practical image sizes and window sizes.

Original languageEnglish
Article number4757197
Pages (from-to)403-416
Number of pages14
JournalIEEE Transactions on Very Large Scale Integration (VLSI) Systems
Volume17
Issue number3
DOIs
Publication statusPublished - 2009 Mar 1

Keywords

  • Image processing
  • Memory design
  • Optimization
  • Parallel processors

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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