Integral imaging acquisition and processing for visualization of photon counting images in the mid-wave infrared range

P. Latorre-Carmona; F. Pla; B. Javidi

doi:10.1117/12.2225872

1 June 2016 Integral imaging acquisition and processing for visualization of photon counting images in the mid-wave infrared range

P. Latorre-Carmona, F. Pla, B. Javidi

Author Affiliations +

Proceedings Volume 9867, Three-Dimensional Imaging, Visualization, and Display 2016; 98670N (2016) https://doi.org/10.1117/12.2225872
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

Abstract

In this paper, we present an overview of our previously published work on the application of the maximum likelihood (ML) reconstruction method to integral images acquired with a mid-wave infrared detector on two different types of scenes: one of them consisting of a road, a group of trees and a vehicle just behind one of the trees (being the car at a distance of more than 200m from the camera), and another one consisting of a view of the Wright Air Force Base airfield, with several hangars and different other types of installations (including warehouses) at distances ranging from 600m to more than 2km. Dark current noise is considered taking into account the particular features this type of sensors have. Results show that this methodology allows to improve visualization in the photon counting domain.

Citation Download Citation

P. Latorre-Carmona, F. Pla, and B. Javidi "Integral imaging acquisition and processing for visualization of photon counting images in the mid-wave infrared range", Proc. SPIE 9867, Three-Dimensional Imaging, Visualization, and Display 2016, 98670N (1 June 2016); https://doi.org/10.1117/12.2225872

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