Alternating Direction Method of Multipliers for Semi-blind Astronomical Image Deconvolution
Konstantina Fotiadou, Grigorios Tsagkatakis, Panagiotis Tsakalides
Abstract
High resolution astronomical imagery plays a critical role in multiple remote sensing applications. In this work, we introduce a novel post-acquisition computational technique aiming to recover the high-quality versions of blurry and degraded astronomical observations. Additionally, the proposed scheme is able to retrieve significant information regarding the characteristic properties of the blurring kernel, i.e point spread function (PSF). In order to accomplish this goal, we exploit the mathematical frameworks of Sparse Reprentations, and the Alternating Direction Method of Multipliers (ADMM). Experimental results demonstrate the ability of the proposed approach to synthesize high-quality astronomical imagery.
BibTeX
@inproceedings{icassp2019_alternatingdirec,
title = {Alternating Direction Method of Multipliers for Semi-blind Astronomical Image Deconvolution},
author = {Konstantina Fotiadou and Grigorios Tsagkatakis and Panagiotis Tsakalides},
booktitle = {ICASSP 2019},
year = {2019}
}