Share Email Print
cover

Proceedings Paper

Minimizing the ghosting artifact in scene-based nonuniformity correction
Author(s): John G. Harris; Yu-Ming Chiang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Current infra-red focal point arrays are limited by their inability to calibrate out component variations. Nonuniformity correction (NUC) techniques have been developed and implemented in off-board digital hardware to perform the necessary calibration for most IR sensing applications. There are two possible types of NUC that can be considered for focal-plane integration: (1) Two-point correction using calibrated images on startup and (2) Scene- based techniques that continually recalibrate the sensor for parameter drifts. The problems with the two-point methods have been well-documented in the literature (parameter drift, expense, etc.) We address the two major problems of scene-based techniques: (1) a more difficult hardware implementation and (2) ghosting artifacts in the corrected images. We have previously addressed the implementation problems by developing and demonstrating special purpose analog hardware as well as an efficient digital algorithm that incorporates the constant statistics model. The ghosting artifact occurs in all scene-based techniques when an object that does not move enough tends to `burn in' and can remain visible for thousands of images after the object has left the field of view. We have improved our model to eliminate much of the ghosting artifact that plagues all scene-based NUC algorithms. By modifying the correction update during ghosting situations, we are able to significantly remove the ghosting artifact and improve the overall accuracy of the correction procedure. We demonstrate these results on real and synthetic image sequences.

Paper Details

Date Published: 26 August 1998
PDF: 8 pages
Proc. SPIE 3377, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing IX, (26 August 1998); doi: 10.1117/12.319364
Show Author Affiliations
John G. Harris, Univ. of Florida (United States)
Yu-Ming Chiang, Univ. of Florida (United States)


Published in SPIE Proceedings Vol. 3377:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing IX
Gerald C. Holst, Editor(s)

© SPIE. Terms of Use
Back to Top