• Journal of IKEEE
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• v.23 no.3
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• pp.978-983
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• 2019

Under the influence of Autonomous Driving and AI, it is important to accurately recognize and judge objects through cameras. In particular, since a method of recognizing an object using a camera can obtain a large amount of information visually compared to other methods, many image signal processing methods have been studied to extract an accurate image. In addition, a lot of research is being carried out to implementation about hardware. In this work, we compare the principles and characteristics of the sorting algorithms that are frequently used in image signal processing and summarize the performance evaluation. Based on this, we define an efficient algorithm when implemented in hardware among efficient sorting algorithms.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.4B
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• pp.282-287
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• 2003

A network is made up of interconnected switching units. The role of a switching unit is to set up a connection between and input port and an output, according to the routing information. But then the most switching network use Banyan switch, their occurs the internal blocking , which attempts to use the same link two cells. This paper proposed and designed for a improvement Batch-Banyan network which can routed two path assignment between its input ports and output ports without only blocking. The network is constructed of two sorting blocks ($4{\times}4$), one switch network($8{\times}8$) block. As a result, the switch network performance increased 4% reduced to half of the hardware complexity of sorting boxes when compare the new switching system with Batcher-Banyan network system.