Restoration algorithms and system performance evaluation for active imagers
This work addresses image quality improvement for active imaging systems, but it appears incremental as it modifies an existing metric and applies known methods to new data.
The paper tackles image restoration for active imaging systems by developing algorithms to correct atmospheric turbulence artifacts and proposing a modified TRM3 metric for system performance evaluation, tested on NATO-TG40 field trial data.
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.