Fast adaptive nonuniformity correction for infrared focal-plane array detectors
EURASIP Journal on Applied Signal Processing
A RLS filter for nonuniformity and ghosting correction of infrared image sequences
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
A recursive least square adaptive filter for nonuniformity correction of infrared image sequences
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Nonuniformity correction of infrared image sequences using the constant-statistics constraint
IEEE Transactions on Image Processing
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In this paper we present a new technique to improve the convergence and to reduce the ghosting artifacts based on constant statistics (CS) method. We propose to reduce ghosting artifacts and to speed up the convergence by using enhanced constant statistics method with the motion threshold. The key advantage of the method is based in its capacity for estimate detectors parameters, and then compensate for fixed-pattern noise in a frame by frame basics. The ability of the method to compensate for nonuniformity and reducing ghosting artifacts is demonstrated by employing video sequences of simulated and several infrared video sequences obtained using two infrared cameras.