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Optimal Periodic Memory Allocation for Image Processing With Multiple Windows

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3 Author(s)
Kobayashi, Y. ; Oyama Nat. Coll. of Technol., Oyama ; Hariyama, M. ; Kameyama, M.

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.

Published in:

Very Large Scale Integration (VLSI) Systems, IEEE Transactions on  (Volume:17 ,  Issue: 3 )

Date of Publication:

March 2009

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