Adaptive Bias Compensation for Non-Uniformity Correction on Infrared Focal Plane Array Detectors

The non-uniform response in infrared focal plane array (IRFPA) detectors produces corrupted images with a fixed-pattern noise. In this paper we present a new adaptive scene-based non-uniformity correction (NUC) technique. The method simultaneously estimates detector’s parameters and performs the non-uniformity compensation using a neural approach and a Kalman estimator in a frame by frame recursive basis. Each detector’s output is connected to its own inverse model: a single 1-input linear neuron. The neuron bias is directly related to the detector’s offset, and have the property of being softly adapted using simple learning rules, choosing a suitable error measure to fit the NUC objective. The proposed method has been tested with sequences of real infrared data taken with a InSb IRFPA, reaching high correction levels, reducing the fixed pattern noise, and obtaining an effective frame by frame adaptive estimation of each detector’s offset.

[1]  M M Hayat,et al.  Statistical algorithm for nonuniformity correction in focal-plane arrays. , 1999, Applied optics.

[2]  M. Kruer,et al.  Infrared focal plane array technology , 1991, Proc. IEEE.

[3]  Jonathan Martin Mooney,et al.  Responsivity Nonuniformity Limited Performance Of Infrared Staring Cameras , 1989 .

[4]  Melvin R. Kruer,et al.  Nonuniformity correction for staring IR focal plane arrays using scene-based techniques , 1990, Defense, Security, and Sensing.

[5]  Dean A. Scribner,et al.  Physical Limitations To Nonuniformity Correction In IR Focal Plane Arrays , 1988, Other Conferences.

[6]  Sergio N. Torres.  Scene-Based Nonuniformity Correction Method Using Constant-Range : Performance and Analysis , 2002 .

[7]  A. Bovik,et al.  A universal image quality index , 2002, IEEE Signal Processing Letters.

[8]  E Armstrong,et al.  Scene-based nonuniformity correction with video sequences and registration. , 2000, Applied optics.

[9]  Jose C. Principe,et al.  Neural and adaptive systems , 2000 .

[10]  P. M. Narendra.  Reference-Free Nonuniformity Compensation For IR Imaging Arrays , 1980, Optics & Photonics.

[11]  Stephen C. Cain,et al.  Projection-based image registration in the presence of fixed-pattern noise , 2001, IEEE Trans. Image Process..

[12]  John G. Harris,et al.  Nonuniformity correction of infrared image sequences using the constant-statistics constraint , 1999, IEEE Trans. Image Process..

[13]  Melvin R. Kruer,et al.  Adaptive retina-like preprocessing for imaging detector arrays , 1993, IEEE International Conference on Neural Networks.