Derivative Based Focal Plane Array Nonuniformity Correction
This addresses a domain-specific problem for infrared imaging systems by providing a practical, real-time solution for nonuniformity correction, though it appears incremental as it builds on existing translation-based approaches.
The paper tackles fixed pattern noise nonuniformity correction in infrared focal plane arrays by proposing a fast, robust method that requires no shutter or elaborate calibrations, enabling real-time correction without interruptions. The method uses derivative estimation from pixel-sized translations, achieving invariance to noise magnitude and robustness to unknown camera and inter-scene movements.
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.