| dc.contributor.author | Hadeel Nasrat, Abdullah | |
| dc.contributor.author | Shaikh N. S., AB Rahman | |
| dc.contributor.author | A. N., Abdalla | |
| dc.date.accessioned | 2010-08-13T09:26:02Z | |
| dc.date.available | 2010-08-13T09:26:02Z | |
| dc.date.issued | 2009-06-20 | |
| dc.identifier.citation | p.1-3 | en_US |
| dc.identifier.uri | http://dspace.unimap.edu.my/123456789/8671 | |
| dc.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. | en_US |
| dc.description.abstract | 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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Universiti Malaysia Pahang (UMP) | en_US |
| dc.relation.ispartofseries | Proceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009 | en_US |
| dc.subject | Denoising | en_US |
| dc.subject | Dual tree | en_US |
| dc.subject | Complex wavelet transform | en_US |
| dc.subject | Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) | en_US |
| dc.title | Image denoising based on dual-tree complex discrete wavelet transform | en_US |
| dc.type | Working Paper | en_US |
