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http://hdl.handle.net/123456789/8671
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| Title: | Image denoising based on dual-tree complex discrete wavelet transform |
| Authors: | Hadeel Nasrat, Abdullah
Shaikh N. S., AB Rahman
A. N., Abdalla |
| Keywords: | Denoising
Dual tree
Complex wavelet transform
Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) |
| Issue Date: | 20-Jun-2009 |
| Publisher: | Universiti Malaysia Pahang (UMP) |
| Citation: | p.1-3 |
| Series/Report no.: | Proceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009 |
| 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. |
| 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. |
| URI: | http://hdl.handle.net/123456789/8671 |
| Appears in Collections: | Conference Papers
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Size | Format |
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| 446-448.pdf | Access is limited to UniMAP community | 263.36 kB | Adobe PDF | View/Open |
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