Abstract
AbstractIn modern technologies, digital image processing is an essential field with various applications. Over the past few years, the multidisciplinary field of real-time image processing has undergone an explosion. Scientists are looking for advanced processing tools such as embedded and special hardware systems such as Raspberry Pi for big data processing in real-time every day. Raspberry Pi is a credit card affordable computer with an open-source platform. Raspberry Pi is a very useful and promising tool for image processing applications that provide the advantages of portability, parallelism, low cost, and low power consumption. Since the computational time in image processing applications is a critical factor, clusters can achieve real-time execution in image processing applications. When it comes to constructing massive supercomputing clusters, power consumption has become an increasingly important metric. Low-power embedded processors are one way to reduce power consumption in large clusters instead of the standard CPUs. As a result, it will be helpful to use a Raspberry Pi cluster for image processing applications that take a long time to execute, as the portable cluster can be configured to continue to operate even if a number of its nodes fail. In this paper, the authors provide an overview of Raspberry Pi utilization in various parallel image processing applications in different fields.KeywordsRaspberry piClusterImage processingParallel Computing
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