Implementation of Parallel Image Convolution Processing Based on CORBA
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概要
- 論文の詳細を見る
To obtain the expected quality of image reproduction in image processing, it is usually necessary to perform a number of operations on the original image. Thus, it is desirable to reduce the cost of these operations. This paper discusses implementation of parallel image convolution processing based on CORBA. Employing CORBA makes it possible to exploit a cluster of heterogeneous workstations, each of which has a different level of computing power. The paper also presents an analytical model for the number of workstations appropriate for efficient image processing, and reports some experimental results.
- 2000-02-15
著者
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ARITSUGI Masayoshi
Graduate School of Science and Technology, Kumamoto University
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Aritsugi M
Department Of Computer Science Faculty Of Engineering Gunma University
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Aritsugi Masayoshi
Graduate School Of Science And Technology Kumamoto University
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Aritsugi Masayoshi
Department Of Computer Science Gunma University
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Kanamori Yoshinari
Department Of Computer Science Faculty Of Engineering Gunma University
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FUKATSU Hiroki
Department of Materials Science and Engineering, Polymeric Materials Course, Nagoya Institute of Tec
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Fukatsu Hiroki
Department Of Computer Science Faculty Of Engineering Gunma University:(present Address)fujitsu Fron
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