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Best basis denoising with non-stationary wavelet packets

Ouarti, Nizar; Peyré, Gabriel (2009), Best basis denoising with non-stationary wavelet packets, 16th IEEE International Conference on Image Processing (ICIP), 2009 Proceedings, IEEE, p. 3825-3828. http://dx.doi.org/10.1109/ICIP.2009.5414264

Type
Communication / Conférence
External document link
http://hal.archives-ouvertes.fr/hal-00410869
Date
2009
Conference title
16th IEEE International Conference on Image Processing (ICIP), 2009
Conference date
2009-11
Conference city
Le Caire
Conference country
Égypte
Book title
16th IEEE International Conference on Image Processing (ICIP), 2009 Proceedings
Publisher
IEEE
ISBN
978-1-4244-5653-6
Pages
3825-3828
Publication identifier
http://dx.doi.org/10.1109/ICIP.2009.5414264
Metadata
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Author(s)
Ouarti, Nizar
Peyré, Gabriel
Abstract (EN)
This article introduces a best basis search algorithm in a non-stationary (NS) wavelet packets dictionary. It computes an optimized labeled quad-tree that indexes the filters used for the NS wavelet packets decomposition. This algorithm extends the classical best basis search by exploring in a hierarchical manner all possible NS wavelet packets coefficients. The scale-by-scale variation of the filters allows to adapt the transform to the frequency content of complex textures. The resulting denoising method is made translation invariant by cycle spinning. Numerical results show that NS wavelet packets give better results than wavelet packets and wave-atoms for the denoising of natural images, in particular in textured areas. Moreover, the cycle spinning method increases significantly the denoising abilities of our algorithm.
Subjects / Keywords
best basis; denoising; wavelet; wavelet packet

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