Recursive Algorithms for Bias and Gain Nonuniformity Correction in Infrared Videos

@article{Pipa2012RecursiveAF,
  title={Recursive Algorithms for Bias and Gain Nonuniformity Correction in Infrared Videos},
  author={Daniel Pipa and Eduardo A. B. da Silva and Carla L. Pagliari and Paulo S. R. Diniz},
  journal={IEEE Transactions on Image Processing},
  year={2012},
  volume={21},
  pages={4758-4769}
}
Infrared focal-plane array (IRFPA) detectors suffer from fixed-pattern noise (FPN) that degrades image quality, which is also known as spatial nonuniformity. FPN is still a serious problem, despite recent advances in IRFPA technology. This paper proposes new scene-based correction algorithms for continuous compensation of bias and gain nonuniformity in FPA sensors. The proposed schemes use recursive least-square and affine projection techniques that jointly compensate for both the bias and gain… CONTINUE READING