Restoration algorithms and system performance evaluation for active imagers

TL;DR

This paper explores image restoration algorithms for active imagers affected by atmospheric turbulence and proposes a modified performance evaluation metric using NATO field trial data.

Contribution

It introduces a new modified TRM3 metric for evaluating active imaging system performance and applies it to real-world NATO trial data.

Findings

Restoration algorithms effectively reduce atmospheric artifacts.

The modified TRM3 metric provides reliable system performance measures.

Application to NATO data demonstrates practical utility.

Abstract

This paper deals with two fields related to active imaging system. First, we begin to explore image processing algorithms to restore the artefacts like speckle, scintillation and image dancing caused by atmospheric turbulence. Next, we examine how to evaluate the performance of this kind of systems. To do this task, we propose a modified version of the german TRM3 metric which permits to get MTF-like measures. We use the database acquired during NATO-TG40 field trials to make our tests.