Single-shot image restoration via a model-enhanced network with unpaired supervision in an optical sparse aperture system

• DOI: 10.1364/ol.496212
• Publication Date: 2023-08-21T19:00:47Z
• Authors: Ju Tang; Jiawei Zhang; Zhenbo Ren; Jianglei Di; Xiaoyan Wu; Jianlin Zhao
• Keywords: Kernel (algebra)

We propose a model-enhanced network with unpaired single-shot data for solving the imaging blur problem of an optical sparse aperture (OSA) system. With only one degraded image captured from system and "arbitrarily" selected clear image, cascaded neural is iteratively trained denoising restoration. computational degradation model enhancement, our method able to improve contrast, restore blur, suppress noise images in simulation experiment. It can achieve better restoration performance fewer priors than other algorithms. The easy selectivity non-strict requirement custom kernel make it suitable applicable any OSA