A Recursive Least Square Adaptive Filter for Nonuniformity Correction of Infrared Image Sequences
- Cite this paper as:
- Torres F., Torres S.N., Martín C.S. (2005) A Recursive Least Square Adaptive Filter for Nonuniformity Correction of Infrared Image Sequences. In: Sanfeliu A., Cortés M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg
In this paper, an adaptive scene-based nonuniformity correction methodology for infrared image sequences is developed. The method estimates detector parameters and carry out the non-uniformity correction based on the recursive least square filter approach, with adaptive supervision. 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 is demonstrated by employing several infrared video sequences obtained using two infrared cameras.
KeywordsImage Sequence Processing Infrared Imaging RLS
TopicInfrared Image and Video Processing Infrared Sensor-Imaging
Unable to display preview. Download preview PDF.