A Novel Non-Uniformity Correction Algorithm Based On Non-Linear Fit
Infrared focal plane arrays (IRFPA) sensors, due to
their high sensitivity, high frame frequency and simple structure, have
become the most prominently used detectors in military applications.
However, they suffer from a common problem called the fixed pattern
noise (FPN), which severely degrades image quality and limits the
infrared imaging applications. Therefore, it is necessary to perform
non-uniformity correction (NUC) on IR image. The algorithms of
non-uniformity correction are classified into two main categories, the
calibration-based and scene-based algorithms. There exist some
shortcomings in both algorithms, hence a novel non-uniformity
correction algorithm based on non-linear fit is proposed, which
combines the advantages of the two algorithms. Experimental results
show that the proposed algorithm acquires a good effect of NUC with
a lower non-uniformity ratio.
[1] A. F. Milton, F. R. Barone, M. R. Kruer. "Influence of Non-uniformity on
Infrared Focal Plan Array Performance". SPIE Opt. Eng., Vol. 24(5):
855-865 (1985).
[2] J. G. Harris, Y. M. Chiang. "Non-uniformity correction of Infrared Image
Sequences Using the constant-Statistics Constrain". IEEE Transactions
on image processing, Vol.8: 1148-1151 (1999).
[3] D. A. Scribner, K. A. Sarkay, J. T. Caulfield, et al. "Non-uniformity
Correction for Staring Focal Plane Arrays Using Scene-Base
Technology". SPIE, Vol.1308: 224-233 (1990).
[4] D. A. Scribner, K. A. Sarkay, M. R. Kruer, et al. "Adaptive
Non-uniformity Correction for IR Focal Plane Arrays Using Neural
Networks". Proc. SPIE, Vol.1541: 100-109 (1991).
[5] S. N. Torres, M. M. Hayat, E. E. Armstrong and B. Yasuda. "A
Kalman-Filtering Approach for Non-uniformity Correction in Focal-Plan
Arrays Sensors". SPIE, Vol.4030: 196~205 (2000).
[1] A. F. Milton, F. R. Barone, M. R. Kruer. "Influence of Non-uniformity on
Infrared Focal Plan Array Performance". SPIE Opt. Eng., Vol. 24(5):
855-865 (1985).
[2] J. G. Harris, Y. M. Chiang. "Non-uniformity correction of Infrared Image
Sequences Using the constant-Statistics Constrain". IEEE Transactions
on image processing, Vol.8: 1148-1151 (1999).
[3] D. A. Scribner, K. A. Sarkay, J. T. Caulfield, et al. "Non-uniformity
Correction for Staring Focal Plane Arrays Using Scene-Base
Technology". SPIE, Vol.1308: 224-233 (1990).
[4] D. A. Scribner, K. A. Sarkay, M. R. Kruer, et al. "Adaptive
Non-uniformity Correction for IR Focal Plane Arrays Using Neural
Networks". Proc. SPIE, Vol.1541: 100-109 (1991).
[5] S. N. Torres, M. M. Hayat, E. E. Armstrong and B. Yasuda. "A
Kalman-Filtering Approach for Non-uniformity Correction in Focal-Plan
Arrays Sensors". SPIE, Vol.4030: 196~205 (2000).
@article{"International Journal of Electrical, Electronic and Communication Sciences:57251", author = "Yang Weiping and Zhang Zhilong and Zhang Yan and Chen Zengping", title = "A Novel Non-Uniformity Correction Algorithm Based On Non-Linear Fit", abstract = "Infrared focal plane arrays (IRFPA) sensors, due to
their high sensitivity, high frame frequency and simple structure, have
become the most prominently used detectors in military applications.
However, they suffer from a common problem called the fixed pattern
noise (FPN), which severely degrades image quality and limits the
infrared imaging applications. Therefore, it is necessary to perform
non-uniformity correction (NUC) on IR image. The algorithms of
non-uniformity correction are classified into two main categories, the
calibration-based and scene-based algorithms. There exist some
shortcomings in both algorithms, hence a novel non-uniformity
correction algorithm based on non-linear fit is proposed, which
combines the advantages of the two algorithms. Experimental results
show that the proposed algorithm acquires a good effect of NUC with
a lower non-uniformity ratio.", keywords = "Non-uniformity correction, non-linear fit, two-point
correction, temporal Kalman filter.", volume = "6", number = "12", pages = "1474-4", }