Astronomical image processing and high angular resolution techniques

The group on image processing is focused on the use of the wavelet and curvelet transforms to improve the ability of image sensors to detect faint stars and moving objects. Applications to Astronomy and Remote Sensing are developed. The group is studying the effects of the curvelet transform over interferometric images and the effect of deconvolution (using wavelets and curvelets-based maximum likelihood estimator) in adaptive optics observations.

DAM researchers are also working on obtaining super- resolution using additive-substitutive wavelets techniques on remotely sensed images.


Fors Aldrich Octavi (Collaborator)
Merino Espasa M. Teresa (PhD Student)
Núñez de Murga Jorge C. (UB Professor)