Paper
13 November 2003 Angular multiselectivity analysis of images
Jean-Pierre Antoine, Laurent Jacques
Author Affiliations +
Abstract
Two-dimensional wavelet analysis with directional frames is well-adapted and efficient for detecting oriented features in images but, for (quasi-)isotropic components, it is unnecessarily redundant. Using wavelets with variable angular selectivity leads to a prohibitive computing cost in the continuous wavelet formalism. We propose here a solution based on a multiresolution analysis in the angular variable (transferred from a biorthogonal analysis on the line), in addition to the usual multiresolution in scale. The resulting scheme is efficient and competitive with traditional methods. Some applications are given to image denoising.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jean-Pierre Antoine and Laurent Jacques "Angular multiselectivity analysis of images", Proc. SPIE 5207, Wavelets: Applications in Signal and Image Processing X, (13 November 2003); https://doi.org/10.1117/12.504800
Lens.org Logo
CITATIONS
Cited by 5 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Wavelets

Biological research

Cameras

Denoising

Image analysis

Image denoising

Continuous wavelet transforms

RELATED CONTENT

Hilbert-like tight frame wavelets with symmetric envelope
Proceedings of SPIE (September 20 2007)
Design of a tight frame of 2D shearlets based on...
Proceedings of SPIE (September 27 2011)
A novel median-contourlet for image denoising application
Proceedings of SPIE (November 29 2007)
Image denoising based on wavelet transform algorithm
Proceedings of SPIE (January 12 2012)

Back to Top