### Abstract

This paper presents an overview of three recently developed scene-based nonuniformity correction techniques, namely, the algebraic scene-based algorithm (ASBA), the extended radiometrically accurate scene-based algorithm (RASBA) and the generalized algebraic scene-based algorithm (GASBA). The ASBA uses pairs of image frames that exhibit one-dimension sub-pixel motion to algebraically extract estimates of bias nonuniformity. The RASBA incorporates arbitrary sub- and super-pixel two-dimensional motion in conjunction with limited perimeter-only absolute calibration to obtain radiometrically accurate estimates of the bias nonuniformity. The RASBA provides the advantage of being able to maintain radiometry in the interior photodetectors without interrupting their operation. The GASBA is a generalized non-radiometric form of the algorithm that uses image pairs with arbitrary two-dimensional motion and encompasses both the ASBA and RASBA algorithms. This generalization is accomplished by initially guaranteeing bias uniformity in the perimeter detectors. This uniformity can be achieved by first applying the ASBA estimates. The generalized algorithm is then able to automatically maintain perimeter uniformity without the need for re-application of the ASBA. Thus, the GASBA is able to operate completely in a non-radiometric mode, alleviating the need for the perimeter calibration system if desired. The generalized algorithm is applied to real infrared imagery obtained from both cooled and uncooled infrared cameras. A hardware implementation of the proposed algorithm will also be discussed along with several ongoing commercial applications of the technology.

Original language | English (US) |
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Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |

Editors | K.M. Iftekharuddin, A.A.S. Awwal |

Pages | 122-136 |

Number of pages | 15 |

Volume | 5556 |

DOIs | |

State | Published - 2004 |

Externally published | Yes |

Event | Photonic Devices and Algorithms for Computing VI - Denver, CO, United States Duration: Aug 2 2004 → Aug 3 2004 |

### Other

Other | Photonic Devices and Algorithms for Computing VI |
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Country | United States |

City | Denver, CO |

Period | 8/2/04 → 8/3/04 |

### Fingerprint

### Keywords

- Calibration
- Fixed pattern noise
- Focal plane array
- Infrared sensors
- Nonuniformity correction
- Scene-based NUC

### ASJC Scopus subject areas

- Electrical and Electronic Engineering
- Condensed Matter Physics

### Cite this

*Proceedings of SPIE - The International Society for Optical Engineering*(Vol. 5556, pp. 122-136). [14] https://doi.org/10.1117/12.557650

**Generalized algebraic algorithm for scene-based nonuniformity correction.** / Hayat, Majeed M.; Ratliff, Bradley M.; Tyo, J Scott; Agi, Kamil.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Proceedings of SPIE - The International Society for Optical Engineering.*vol. 5556, 14, pp. 122-136, Photonic Devices and Algorithms for Computing VI, Denver, CO, United States, 8/2/04. https://doi.org/10.1117/12.557650

}

TY - GEN

T1 - Generalized algebraic algorithm for scene-based nonuniformity correction

AU - Hayat, Majeed M.

AU - Ratliff, Bradley M.

AU - Tyo, J Scott

AU - Agi, Kamil

PY - 2004

Y1 - 2004

N2 - This paper presents an overview of three recently developed scene-based nonuniformity correction techniques, namely, the algebraic scene-based algorithm (ASBA), the extended radiometrically accurate scene-based algorithm (RASBA) and the generalized algebraic scene-based algorithm (GASBA). The ASBA uses pairs of image frames that exhibit one-dimension sub-pixel motion to algebraically extract estimates of bias nonuniformity. The RASBA incorporates arbitrary sub- and super-pixel two-dimensional motion in conjunction with limited perimeter-only absolute calibration to obtain radiometrically accurate estimates of the bias nonuniformity. The RASBA provides the advantage of being able to maintain radiometry in the interior photodetectors without interrupting their operation. The GASBA is a generalized non-radiometric form of the algorithm that uses image pairs with arbitrary two-dimensional motion and encompasses both the ASBA and RASBA algorithms. This generalization is accomplished by initially guaranteeing bias uniformity in the perimeter detectors. This uniformity can be achieved by first applying the ASBA estimates. The generalized algorithm is then able to automatically maintain perimeter uniformity without the need for re-application of the ASBA. Thus, the GASBA is able to operate completely in a non-radiometric mode, alleviating the need for the perimeter calibration system if desired. The generalized algorithm is applied to real infrared imagery obtained from both cooled and uncooled infrared cameras. A hardware implementation of the proposed algorithm will also be discussed along with several ongoing commercial applications of the technology.

AB - This paper presents an overview of three recently developed scene-based nonuniformity correction techniques, namely, the algebraic scene-based algorithm (ASBA), the extended radiometrically accurate scene-based algorithm (RASBA) and the generalized algebraic scene-based algorithm (GASBA). The ASBA uses pairs of image frames that exhibit one-dimension sub-pixel motion to algebraically extract estimates of bias nonuniformity. The RASBA incorporates arbitrary sub- and super-pixel two-dimensional motion in conjunction with limited perimeter-only absolute calibration to obtain radiometrically accurate estimates of the bias nonuniformity. The RASBA provides the advantage of being able to maintain radiometry in the interior photodetectors without interrupting their operation. The GASBA is a generalized non-radiometric form of the algorithm that uses image pairs with arbitrary two-dimensional motion and encompasses both the ASBA and RASBA algorithms. This generalization is accomplished by initially guaranteeing bias uniformity in the perimeter detectors. This uniformity can be achieved by first applying the ASBA estimates. The generalized algorithm is then able to automatically maintain perimeter uniformity without the need for re-application of the ASBA. Thus, the GASBA is able to operate completely in a non-radiometric mode, alleviating the need for the perimeter calibration system if desired. The generalized algorithm is applied to real infrared imagery obtained from both cooled and uncooled infrared cameras. A hardware implementation of the proposed algorithm will also be discussed along with several ongoing commercial applications of the technology.

KW - Calibration

KW - Fixed pattern noise

KW - Focal plane array

KW - Infrared sensors

KW - Nonuniformity correction

KW - Scene-based NUC

UR - http://www.scopus.com/inward/record.url?scp=14944363699&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=14944363699&partnerID=8YFLogxK

U2 - 10.1117/12.557650

DO - 10.1117/12.557650

M3 - Conference contribution

AN - SCOPUS:14944363699

VL - 5556

SP - 122

EP - 136

BT - Proceedings of SPIE - The International Society for Optical Engineering

A2 - Iftekharuddin, K.M.

A2 - Awwal, A.A.S.

ER -