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 / ConférenceExternal document link
http://hal.archives-ouvertes.fr/hal-00410869Date
2009Conference title
16th IEEE International Conference on Image Processing (ICIP), 2009Conference date
2009-11Conference city
Le CaireConference country
ÉgypteBook title
16th IEEE International Conference on Image Processing (ICIP), 2009 ProceedingsPublisher
IEEE
ISBN
978-1-4244-5653-6
Pages
3825-3828
Publication identifier
Metadata
Show full item recordAbstract (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 packetRelated items
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