Referenced Items are not available for this document.
A new non-training complex wavelet hidden Markov tree (HMT) model, which is based on the dual-tree complex wavelet transform and a fast parameter estimation technique, is proposed for image denoising. This new model can mitigate the two problems (high computational cost and shift-variance) of the conventional wavelet HMT model simultaneously. Experiments show that the denoising approach with this new model achieves better performance than other related HMT- based image denoising algorithms.
Published in:
Electronics Letters
(Volume:43
,
Issue:
18
)
Date of Publication: August 31 2007
- Page(s):
- 973 - 975
- ISSN :
- 0013-5194
- INSPEC Accession Number:
- 9944599
- Digital Object Identifier :
- 10.1049/el:20071258
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 10 September 2007
- Issue Date :
- August 31 2007
- Sponsored by :
- Institution of Engineering and Technology
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