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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...

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Main Author: Ang, Boon Hui
Format: Thesis
Language:English
Published: 2012
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/31804/5/AngBoonHuiMFKE2012.pdf
http://eprints.utm.my/id/eprint/31804/
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spelling my.utm.318042017-09-28T06:30:16Z http://eprints.utm.my/id/eprint/31804/ 2-D DWT system architecture for image compression 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 NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/31804/5/AngBoonHuiMFKE2012.pdf Ang, Boon Hui (2012) 2-D DWT system architecture for image compression. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
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
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
publishDate 2012
url http://eprints.utm.my/id/eprint/31804/5/AngBoonHuiMFKE2012.pdf
http://eprints.utm.my/id/eprint/31804/
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score 13.211869

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