Image processing operations are computational intensive and are usually solved by parallel algorithms implemented either on dedicated parallel computing devices or a network of workstations. With the increasing computing power of Personal Computer (PC) and better networking facilities, it is now feasible to perform distributive computing on a PC network. As the cost/performance ratio of PC is high, this provides a cost effective solution for solving image processing problems. In this paper, we describe how to implement distributive image processing algorithms on a peer-to-peer PC network under the WindowsNT^TM operating system and the efficiency of such algorithms will be discussed.

Date Published: 21 April 1995
PDF: 6 pages
Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995);

Published in SPIE Proceedings Vol. 2501:
Visual Communications and Image Processing '95
Lance T. Wu, Editor(s)