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Study on Pipelined Parallel Processing Architectures for Imaging and Computer Vision

Study on Pipelined Parallel Processing Architectures for Imaging and Computer Vision
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Author(s): P. Suresh (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India)
Copyright: 2021
Pages: 21
Source title: Design Methodologies and Tools for 5G Network Development and Application
Source Author(s)/Editor(s): P. Suresh (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India), G. Vairavel (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India)and U. Saravanakumar (Muthayammal Engineering College, India)
DOI: 10.4018/978-1-7998-4610-9.ch004

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Abstract

In digital image processing, the noise detection and removal are very important tasks, since they have wide applications in all fields. In recent years, the logic fabric and routing FPGAs architecture provides customers with a number of advantages. In this chapter, the performance is analysed with different FPGA processors in terms of slices, LUTs, and BRAM utilization is studied. The implemented hardware architecture with digital images plays an important role in all daily life applications, industrial applications such as image recognition, computer tomography, satellite television, space imaging, magnetic resonance imaging, etc., and also in areas of research and technology of geographical information systems and astronomy.

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