HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

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

Abstract : 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.
Complete list of metadata

Cited literature [35 references]  Display  Hide  Download

Contributor : Laurent Duval Connect in order to contact the contributor
Submitted on : Saturday, July 9, 2016 - 4:20:08 PM
Last modification on : Saturday, January 15, 2022 - 3:58:05 AM
Long-term archiving on: : Tuesday, November 8, 2016 - 7:33:12 PM


Files produced by the author(s)




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



Record views


Files downloads