RESEARCH AND DEVELOPMENT PROJECT
Wavelets and other multiresolution techniques have been developed in recent years, and furnish a powerful and insightful representation of the data. By means of multiresolution or multiscale analysis, an image can be decomposed into a set of images (or scales), each scale containing only structures of a given size. This data representation, associated with noise modeling, has been applied to very different applications such as data filtering, deconvolution, compression, object detection, and so on. Results are enhanced in all such processing because the wavelet transform approach allows a better understanding of how the data values are distributed in an image, and how the signal can be separated from the noise. The goal of this project is develop new methods for data processing using the multiscale approch. Several products, MR/1 , MR/2 , MR/3 ,and MR/4 have been realized.
MR/1 implements multiscale methods for 1D and 2D data.
MR/2 implements methods derived from the multiscale entropy.
MR/3 implements multiscale methods for 3D and multi-channel data.
MR/4 implements ridgelet and curvelet methods for 2D data.
The software is distributed under licence from the CEA (Commisariat à l'Energie Atomique, Saclay, France) by Multi Resolutions Ltd., and contact information is provided at www.multiresolution.com.
Results related to the Multiresolution project have been presented in many conferences, and published in several in refereed journals .
Our collaborators are Albert Bijaoui from Nice Observatory , Mireille Louys and Francois Bonnarel from the CDS (Centre de Données astronomiques de Strasbourg), and Fionn Murtagh from the Queen's University of Belfast
The last aspect of the project is its strong implication in the following CEA Astrophysical Service (SAP) projects