2-D DWT system architecture for image compression

Since the introduction of wavelet transform in early 1980s, it has contributed significantly in multiple areas, such as image processing and compression, radar signal analysis, numerical analysis, biomedical signal processing, medical imaging and digital signal processing. The key advantage of wavel...

全面介绍

Saved in:

书目详细资料
主要作者:	Ang, Boon Hui
格式:	Thesis
语言:	English
出版:	2012
主题:	TA Engineering (General) Civil engineering (General)
在线阅读:	http://eprints.utm.my/id/eprint/31804/5/AngBoonHuiMFKE2012.pdf
标签:	添加标签没有标签, 成为第一个标记此记录!

id	my-utm-ep.31804
record_format	uketd_dc
spelling	my-utm-ep.318042017-09-28T06:30:16Z 2-D DWT system architecture for image compression 2012-06 Ang, Boon Hui TA Engineering (General). Civil engineering (General) Since the introduction of wavelet transform in early 1980s, it has contributed significantly in multiple areas, such as image processing and compression, radar signal analysis, numerical analysis, biomedical signal processing, medical imaging and digital signal processing. The key advantage of wavelet analysis is the extra time and frequency information compared to other transforms. However, the discrete wavelet transform (DWT) requires very large memory requirement and is computationally intensive, especially for 2-D transform. Typically, it has quadratic computational complexity. In this project, we propose a fully dedicated processor which specialized in 2-D DWT. This architecture aims to achieve improvements on throughput, scalability and flexibility compared to other prior architectures. This architecture requires significantly less computational resources and internal memory. The proposed architecture can achieve threoritical throughput of 138fps for a 2048x1566 video processing. The DWT system has been designed for scalability by supporting up to 8 parallel DWT engines and each DWT engine can work independently. The DWT system architecture is very flexible and the performance can be scaled by increasing or reducing the DWT engines, according to different application needs. Furthermore, this architecture has been designed with the consideration of integration into existing Advanced Microcontroller Bus Architecture (AMBA) systems in future. 2012-06 Thesis http://eprints.utm.my/id/eprint/31804/ http://eprints.utm.my/id/eprint/31804/5/AngBoonHuiMFKE2012.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TA Engineering (General) Civil engineering (General)
spellingShingle	TA Engineering (General) Civil engineering (General) Ang, Boon Hui 2-D DWT system architecture for image compression
description	Since the introduction of wavelet transform in early 1980s, it has contributed significantly in multiple areas, such as image processing and compression, radar signal analysis, numerical analysis, biomedical signal processing, medical imaging and digital signal processing. The key advantage of wavelet analysis is the extra time and frequency information compared to other transforms. However, the discrete wavelet transform (DWT) requires very large memory requirement and is computationally intensive, especially for 2-D transform. Typically, it has quadratic computational complexity. In this project, we propose a fully dedicated processor which specialized in 2-D DWT. This architecture aims to achieve improvements on throughput, scalability and flexibility compared to other prior architectures. This architecture requires significantly less computational resources and internal memory. The proposed architecture can achieve threoritical throughput of 138fps for a 2048x1566 video processing. The DWT system has been designed for scalability by supporting up to 8 parallel DWT engines and each DWT engine can work independently. The DWT system architecture is very flexible and the performance can be scaled by increasing or reducing the DWT engines, according to different application needs. Furthermore, this architecture has been designed with the consideration of integration into existing Advanced Microcontroller Bus Architecture (AMBA) systems in future.
format	Thesis
qualification_level	Master's degree
author	Ang, Boon Hui
author_facet	Ang, Boon Hui
author_sort	Ang, Boon Hui
title	2-D DWT system architecture for image compression
title_short	2-D DWT system architecture for image compression
title_full	2-D DWT system architecture for image compression
title_fullStr	2-D DWT system architecture for image compression
title_full_unstemmed	2-D DWT system architecture for image compression
title_sort	2-d dwt system architecture for image compression
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2012
url	http://eprints.utm.my/id/eprint/31804/5/AngBoonHuiMFKE2012.pdf
_version_	1747815849904832512

2-D DWT system architecture for image compression

相似书籍