We present a two-channel deconvolution method that decomposes images into a parametric point-source channel and a pixelized extended-source channel. Based on the central idea of the deconvolution algorithm proposed by Magain, Courbin & Sohy (1998), the method aims at improving the resolution of the data rather than at completely removing the point spread function (PSF). Improvements over the original method include a better regularization of the pixel channel of the image, based on wavelet filtering and multiscale analysis, and a better controlled separation of the point source vs. the extended source. In addition, the method is able to simultaneously deconvolve many individual frames of the same object taken with different instruments under different PSF conditions. For this purpose, we introduce a general geometric transformation between individual images. This transformation allows the combination of the images without having to interpolate them. We illustrate the capability of our algorithm using real and simulated images with complex diffraction-limited PSF.
Ground-based image deconvolution with Swin Transformer UNet
Ecole Polytechnique Fédérale de Lausanne (EPFL)（洛桑联邦理工学院）；Université Paris-Saclay（巴黎萨克雷大学）；Université Paris Cité（巴黎西岱大学）；CEA（法国原子能和替代能源委员会）；CNRS（法国国家科学研究中心）；Foundation for Research and Technology Hellas (FORTH)（希腊研究与技术基金会）
Joint multiband deconvolution for Euclid and Vera C. Rubin images
Laboratory of Astrophysics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Observatoire de Sauverny（天体物理实验室，瑞士洛桑联邦理工学院（EPFL），萨瓦尼观测站）；GEPI, Observatoire de Paris, Université PSL, CNRS（GEPI，巴黎天文台，巴黎-萨克勒大学，国家科学研究中心）；ICC-UB Institut de Ciències del Cosmos, Universitat de Barcelona（ICC-UB宇宙科学研究所，巴塞罗那大学）；ICREA, Pg. Lluís Companys 23, Barcelona（ICREA，巴塞罗那路易斯·康帕尼斯街23号）；Université Paris-Saclay, Université Paris Cité, CEA, CNRS, AIM（巴黎-萨克勒大学，巴黎城市大学，法国原子能委员会，国家科学研究中心，应用数学研究所）；Institutes of Computer Science and Astrophysics, Foundation for Research and Technology Hellas (FORTH), Greece（计算机科学与天体物理学研究所，希腊希腊研究与技术基金会（FORTH））
Deconvolution for Large Astronomical Surveys: A Study of the Scaled Gradient Projection Method on Zwicky Transient Facility Data
BITS Pilani K.K Birla Goa Campus（印度理工学院比拉校区戈亚分校）；University of California, Berkeley（加州大学伯克利分校）；California Institute of Technology（加州理工学院）；Inter-University Centre for Astronomy and Astrophysics（大学间天文学与天体物理中心）；M. P. Birla Institute of Fundamental Research（M.P.比尔拉基础研究所）
Neural blind deconvolution to reconstruct high-resolution ground-based solar observations
University of Graz（格拉茨大学）；NSF National Center for Atmospheric Research（美国国家科学基金会国家大气研究中心）；Kanzelhöhe Observatory for Solar and Environmental Research, University of Graz（格拉茨大学卡恩泽霍赫太阳与环境研究天文台）；National Solar Observatory（国家太阳天文台）
A New PSF Deconvolution Algorithm: Simultaneous Spatial Resolution Enhancement and Point Source Removal for Morphological Analysis of AGN Host Galaxies
Improving Lens Modelling from Ground-Based Imaging with Deconvolution
The University of Tokyo（东京大学）；Inter-University Centre for Astronomy and Astrophysics (IUCAA)（大学间天文学与天体物理学中心）；Kavli IPMU (WPI), UTokyo Institutes for Advanced Study (UTIAS), The University of Tokyo（理化学研究所 Kavli 宇宙粒子与宇宙学前沿研究所（WPI），东京大学高等研究院（UTIAS），东京大学）；Institut Teknologi Bandung（万隆理工学院）
