In this paper we present a parallel application for image restoration. The problem is relevant in some application fields, such as medicine or astronomy, and has a very high computational complexity so that it is difficult to solve it on scalar computers. The algorithm is based on data parallelism, that is realized with an adaptive decomposition of the image spatial domain for a class of degradation functions. We discuss the implementation on a cluster of six workstations connected through Ethernet network and on a Cray T3E with 128 processors. The results obtained with different images and different number of tasks show good scalability and speed-up.
Bevilacqua A., Loli Piccolomini E. (2000). Parallel image restoration on parallel and distributed computers. PARALLEL COMPUTING, 26(4), 495-506 [10.1016/S0167-8191(99)00115-5].
Parallel image restoration on parallel and distributed computers
Bevilacqua A.;Loli Piccolomini E.
2000
Abstract
In this paper we present a parallel application for image restoration. The problem is relevant in some application fields, such as medicine or astronomy, and has a very high computational complexity so that it is difficult to solve it on scalar computers. The algorithm is based on data parallelism, that is realized with an adaptive decomposition of the image spatial domain for a class of degradation functions. We discuss the implementation on a cluster of six workstations connected through Ethernet network and on a Cray T3E with 128 processors. The results obtained with different images and different number of tasks show good scalability and speed-up.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
