A study of parallel image processing in a distributed processing environment

Abstract

Recent performance enhancements, upgrade applications, and rapid advances in computers and networking technologies have all enabled information processing devices to share computer resources. We are interested in image processing that requires a large amount of calculations. If individual pixels forming an image can be calculated independently, the processing speed can be increased by parallel processing, thus reducing the overall processing time. However, it has been previously confirmed that increasing the number of servers beyond a certain point does not raise the parallel processing efficiency in a parallel distributed processing environment using a client-server model. Therefore, we constructed a new processing environment using an agent model in order to investigate parallel image processing. This paper discusses the results of experiments in this environment in comparison with those of parallel processing in a client-server model.