Astronomical image processing and high angular resolution observation techniques are two fields which contribute towards improving the ability of image sensors to detect faint stars and moving objects, while multiresolution analysis is used to obtain new high-sensitivity and Super-Resolution in Remotely Sensed Images.
The ICCUB researchers in the field of image reconstruction are focused on exploiting the use of the wavelet transform to improve the ability of image sensors to detect faint stars and moving objects. The effects of the curvelet transform over interferometric images are also being studied. Moreover, differential photometry is being estimated in adaptive optics observations using a wavelet-based maximum likelihood estimator. [+]