Restoration algorithms and system performance evaluation for active imagers

TL;DR

A modified version of the german TRM3 metric which permits to get MTF-like measures is proposed which uses the database acquired during NATO-TG40 field trials to make tests.

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.

Figures (10)

• Figure 1: Active imaging principle.
• Figure 2: Behaviour of the average and median filters.
• Figure 3: Temporal median filter. From left to right: one image extracted from the original sequence, results obtained with $N=5$, $N=10$ and $N=50$ respectively.
• Figure 4: Temporal mean filter. From left to right: results obtained with $N=5$, $N=10$ and $N=50$ respectively.
• Figure 5: Warping principle