FPGA-based video processing

Historically, attaining high performance in image processing has always been a challenge since 1960s. With newer and more advanced technologies in fabrications of electronic components, implementations of image processing systems have also evolved from traditional PC based platform into dedicated ha...

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Main Author: Phyo, Wai Zin
Other Authors: School of Computer Engineering
Format: Final Year Project
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/59000
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-590002023-03-03T20:34:06Z FPGA-based video processing Phyo, Wai Zin School of Computer Engineering Centre for High Performance Embedded Systems Suhaib A Fahmy DRNTU::Engineering::Computer science and engineering Historically, attaining high performance in image processing has always been a challenge since 1960s. With newer and more advanced technologies in fabrications of electronic components, implementations of image processing systems have also evolved from traditional PC based platform into dedicated hardware acceleration methods in order to meet the increasing industrial demands for higher performance. In recent years, the advent of Field Programmable Gate Array (FPGA) technology has transformed the conventional image processing techniques into the next level of implementation with unprecedented performance. Due to their unique programmable hardware architectures, high degree of parallelism, availability of abundant dedicated digital signal processing (DSP) units, low costs and low power constraints, FPGA has become a promising solution to achieve the next higher level of performance in image processing applications. However, many applications are still reluctant to be transformed due to many difficulties in its very low level programming model. In this project, various image processing techniques are explored and some real-time video processing systems such as edge detection, blurring, sharpening, embossing and motion detection are developed in Xilinx FPGA Atlys board. Bachelor of Engineering (Computer Engineering) 2014-04-21T01:50:49Z 2014-04-21T01:50:49Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/59000 en Nanyang Technological University 40 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Phyo, Wai Zin
FPGA-based video processing
description Historically, attaining high performance in image processing has always been a challenge since 1960s. With newer and more advanced technologies in fabrications of electronic components, implementations of image processing systems have also evolved from traditional PC based platform into dedicated hardware acceleration methods in order to meet the increasing industrial demands for higher performance. In recent years, the advent of Field Programmable Gate Array (FPGA) technology has transformed the conventional image processing techniques into the next level of implementation with unprecedented performance. Due to their unique programmable hardware architectures, high degree of parallelism, availability of abundant dedicated digital signal processing (DSP) units, low costs and low power constraints, FPGA has become a promising solution to achieve the next higher level of performance in image processing applications. However, many applications are still reluctant to be transformed due to many difficulties in its very low level programming model. In this project, various image processing techniques are explored and some real-time video processing systems such as edge detection, blurring, sharpening, embossing and motion detection are developed in Xilinx FPGA Atlys board.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Phyo, Wai Zin
format Final Year Project
author Phyo, Wai Zin
author_sort Phyo, Wai Zin
title FPGA-based video processing
title_short FPGA-based video processing
title_full FPGA-based video processing
title_fullStr FPGA-based video processing
title_full_unstemmed FPGA-based video processing
title_sort fpga-based video processing
publishDate 2014
url http://hdl.handle.net/10356/59000
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