Title :
A Microprocessor-Based Office Image Processing System
Author :
Ni, Lionel M. ; Wong, Kwan Y. ; Lee, Daniel T. ; Poon, Ronnie K.
Author_Institution :
Department of Computer Science, Michigan State University
Abstract :
This paper presents a multiprocessor system architecture and the scheduling policies of the processors which can off-load a host computer in the image processing of office documents. The objective of this system is to provide extensive image processing capabilities at minimum cost and with an acceptable interactive response time. Multiprocessor system architecture, image partitioning strategies, image processing algorithm characteristics, performance modeling, and processor scheduling policies are investigated. A prototype multiprocessor image processing system has been built at the IBM San Jose Research Laboratory.
Keywords :
Image partitioning; image processing; multiprocessor; office automation; processor scheduling; Computer architecture; Costs; Delay; Image processing; Laboratories; Multiprocessing systems; Partitioning algorithms; Processor scheduling; Prototypes; Scheduling algorithm; Image partitioning; image processing; multiprocessor; office automation; processor scheduling;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.1982.1675911
