Nonuniformity correction algorithm based on adaptive filter for infrared focal plane arrays

• Published in: Infrared physics & technology Vol. 53; no. 4; pp. 295 - 299
• Main Authors: Zhou, Hui-xin, Qin, Han-lin, Lai, Rui, Wang, Bing-jian, Bai, Li-ping
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.07.2010; Elsevier
• Subjects: Adaptive filter; Adaptive filters; Algorithms; Arrays; Bolometer; infrared, submillimeter wave, microwave and radiowave receivers and detectors; Detectors; Exact sciences and technology; Focal plane; Imaging; Infrared; Infrared focal plane arrays; Infrared, submillimeter wave, microwave and radiowave instruments, equipment and techniques; Instruments, apparatus, components and techniques common to several branches of physics and astronomy; Nonuniformity; Nonuniformity correction; Physics; Infrared focal plane arrays; Nonuniformity correction; Adaptive filter; Infrared detectors; Focal plane arrays; Radiation detectors; Adaptive filters; Parallel processing; Imagery; Parallel algorithms
• ISSN: 1350-4495; 1879-0275
• DOI: 10.1016/j.infrared.2010.04.004

Response nonuniformity is a key problem that influences the imaging performance of infrared focal plane arrays (IRFPA) imaging system. A parallel processing algorithm to adaptively estimate the nonuniformity correction (NUC) parameters for IRFPA is presented. In this algorithm, a bank of the adaptive filter is applied to adaptively estimate the NUC parameters for every detector in IRFPA. The infrared image sequences are input into the bank of adaptive filter. After certain times recursion calculations are executed frame-by-frame, then the optimal coefficients of the gain and the offset of detector in IRFPA are achieved. Then the NUC is fulfilled ultimately. The algorithm reduces the influence that the response drift with time imposed on NUC effectively, and achieves good NUC effect. It was validated by real experimental imaging procedures.