A nonuniformity correction method based on Bayesian framework

Scene-based nonuniformity correction method using multiscale constant statistics

Scene-based nonuniformity correction algorithm based on interframe registration.

In this paper, we present a simple and effective scene-based nonuniformity correction (NUC) method for infrared focal plane arrays based on interframe registration. This method estimates the global translation between two adjacent frames and minimizes the mean square error between the two properly registered images to make any two detectors with the same scene produce the same output value. In ...

Derivative Based Focal Plane Array Nonuniformity Correction

This paper presents a fast and robust method for fixed pattern noise nonuniformity correction of infrared focal plane arrays. The proposed method requires neither shutter nor elaborate calibrations and therefore enables a real time correction with no interruptions. Based on derivative estimation of the fixed pattern noise from pixel sized translations of the focal plane array, the proposed meth...

Generalized algebraic scene-based nonuniformity correction algorithm.

A generalization of a recently developed algebraic scene-based nonuniformity correction algorithm for focal plane array (FPA) sensors is presented. The new technique uses pairs of image frames exhibiting arbitrary one- or two-dimensional translational motion to compute compensator quantities that are then used to remove nonuniformity in the bias of the FPA response. Unlike its predecessor, the ...

Scene-based nonuniformity correction using texture-based adaptive filtering

The detectors within an infrared focal plane array (FPA) characteristically have responses that vary from detector to detector. It is desirable to remove this “nonuniformity” for improved image quality. Factory calibration is not sufficient since nonuniformity tends to drift over time. Field calibration can be performed using uniform temperature sources but requires briefly obscuring the field-...