TY - GEN
T1 - Parallel image processing on a PC network
AU - Fung, Y. F.
PY - 1995/5
Y1 - 1995/5
N2 - 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 WindowsNTTM operating system and the efficiency of such algorithms will be discussed.
AB - 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 WindowsNTTM operating system and the efficiency of such algorithms will be discussed.
UR - https://www.scopus.com/pages/publications/0029230449
M3 - Conference article published in proceeding or book
AN - SCOPUS:0029230449
SN - 0891418587
T3 - Proceedings of SPIE - The International Society for Optical Engineering
SP - 401
EP - 406
BT - Proceedings of SPIE - The International Society for Optical Engineering
PB - Society of Photo-Optical Instrumentation Engineers
T2 - Visual Communications and Image Processing '95
Y2 - 24 May 1995 through 26 May 1995
ER -