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Image denoising based on dual-tree complex discrete wavelet transform

MUCEET 2009 is organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussein Onn (UTHM), Universiti Teknikal Melaka (UTeM) and Universiti Malaysia Pahang (UMP), 20th - 22nd June 2009 at M. S. Garden Hotel, Kuantan, Pahang.

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Bibliographic Details
Main Authors: Hadeel Nasrat, Abdullah, Shaikh N. S., AB Rahman, A. N., Abdalla
Format: Working Paper
Language:English
Published: Universiti Malaysia Pahang (UMP) 2010
Subjects:
Denoising
Dual tree
Complex wavelet transform
Malaysian Technical Universities Conference on Engineering and Technology (MUCEET)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/8671
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spelling my.unimap-86712010-08-13T09:26:03Z Image denoising based on dual-tree complex discrete wavelet transform Hadeel Nasrat, Abdullah Shaikh N. S., AB Rahman A. N., Abdalla Denoising Dual tree Complex wavelet transform Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) MUCEET 2009 is organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussein Onn (UTHM), Universiti Teknikal Melaka (UTeM) and Universiti Malaysia Pahang (UMP), 20th - 22nd June 2009 at M. S. Garden Hotel, Kuantan, Pahang. Complex discrete wavelet transform (CDWT) has significant advantages over real wavelet transform for certain signal processing problems. In this paper, denoising of SAR images based on Complex discrete wavelet transform (CDWT) was proposed. The dual-tree CDWT uses length-10 filters to obtain their real and imaginary parts. The top-level denoising strategy same as most other wavelet based denoising algorithms; decompose the noisy image into L levels of 6 directional subbands and a set of (lowpass) scaling coefficients, denoise the complex wavelet coefficients in each subband except for the scaling coefficients and invert the transform to obtain the image estimate. Experiment result shows a great effectiveness of Dual-Tree CDWT in removing the noise compared to the classical DWT. 2010-08-13T09:26:02Z 2010-08-13T09:26:02Z 2009-06-20 Working Paper p.1-3 http://hdl.handle.net/123456789/8671 en Proceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009 Universiti Malaysia Pahang (UMP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Denoising
Dual tree
Complex wavelet transform
Malaysian Technical Universities Conference on Engineering and Technology (MUCEET)
spellingShingle Denoising
Dual tree
Complex wavelet transform
Malaysian Technical Universities Conference on Engineering and Technology (MUCEET)
Hadeel Nasrat, Abdullah
Shaikh N. S., AB Rahman
A. N., Abdalla
Image denoising based on dual-tree complex discrete wavelet transform
description MUCEET 2009 is organized by Malaysian Technical Universities Network (MTUN) comprising of Universiti Malaysia Perlis (UniMAP), Universiti Tun Hussein Onn (UTHM), Universiti Teknikal Melaka (UTeM) and Universiti Malaysia Pahang (UMP), 20th - 22nd June 2009 at M. S. Garden Hotel, Kuantan, Pahang.
format Working Paper
author Hadeel Nasrat, Abdullah
Shaikh N. S., AB Rahman
A. N., Abdalla
author_facet Hadeel Nasrat, Abdullah
Shaikh N. S., AB Rahman
A. N., Abdalla
author_sort Hadeel Nasrat, Abdullah
title Image denoising based on dual-tree complex discrete wavelet transform
title_short Image denoising based on dual-tree complex discrete wavelet transform
title_full Image denoising based on dual-tree complex discrete wavelet transform
title_fullStr Image denoising based on dual-tree complex discrete wavelet transform
title_full_unstemmed Image denoising based on dual-tree complex discrete wavelet transform
title_sort image denoising based on dual-tree complex discrete wavelet transform
publisher Universiti Malaysia Pahang (UMP)
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/8671
_version_ 1643789295486500864
score 13.222552

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