Derivative Based Focal Plane Array Nonuniformity Correction

TL;DR

This paper introduces a real-time, robust nonuniformity correction method for infrared focal plane arrays that does not require shutters or elaborate calibration, using derivative estimation from pixel translations.

Contribution

It presents a novel derivative-based approach that is invariant to noise magnitude and robust against camera and scene movements, enabling interruption-free correction.

Findings

Enables real-time correction without shutter or elaborate calibration

Robust to unknown camera and scene movements

Virtually transparent to end-users

Abstract

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 method has the advantages of being invariant to the noise magnitude and robust to unknown camera and inter-scene movements while being virtually transparent to the end-user.