Atmospheric Turbulence Removal in Long-Range Imaging Using a Data-Driven-Based Approach

Atmospheric turbulence is one of the causes of quality degradation in long-range imaging and its removal from degraded frame sequences is considered an ill-posed problem. There have been numerous attempts to address this problem. However, there is still room for improving the quality of the restored images. In contrast to the previous approaches to address this problem, in this paper, we propose a data-driven approach. First, an end-to-end deep …