Image analysis using a dual-tree M-band wavelet transform - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Image Processing Année : 2006

Image analysis using a dual-tree M-band wavelet transform

Résumé

We propose a two-dimensional generalization to the M-band case of the dual-tree decomposition structure (initially proposed by Kingsbury and further investigated by Selesnick) based on a Hilbert pair of wavelets. We particularly address: 1) the construction of the dual basis and 2) the resulting directional analysis. We also revisit the necessary pre-processing stage in the M-band case. While several reconstructions are possible because of the redundancy of the representation, we propose a new optimal signal reconstruction technique, which minimizes potential estimation errors. The effectiveness of the proposed M-band decomposition is demonstrated via denoising comparisons on several image types (natural, texture, seismics), with various M-band wavelets and thresholding strategies. Significant improvements in terms of both overall noise reduction and direction preservation are observed.
Fichier principal
Vignette du fichier
Chaux_C_2006_tip_ima_adtmbwt-image-dual-tree-m-band.pdf (848.91 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01330599 , version 1 (09-07-2016)

Identifiants

Citer

Caroline Chaux, L. Duval, J.-C. Pesquet. Image analysis using a dual-tree M-band wavelet transform. IEEE Transactions on Image Processing, 2006, 15 (8), pp.2397-2412. ⟨10.1109/TIP.2006.875178⟩. ⟨hal-01330599⟩
291 Consultations
276 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More