Statistical algorithm for nonuniformity correction in focal-plane arrays
| Autor: | Stephen C. Cain, Brian J. Yasuda, Ernest E. Armstrong, Sergio N. Torres, Majeed M. Hayat |
|---|---|
| Rok vydání: | 1999 |
| Předmět: |
business.industry
Computer science Materials Science (miscellaneous) Detector ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Digital imaging Noise (electronics) Industrial and Manufacturing Engineering Focal Plane Arrays Optics Temporal resolution Business and International Management business Linear filter Statistical algorithm |
| Zdroj: | Applied Optics. 38:772 |
| ISSN: | 1539-4522 0003-6935 |
| Popis: | A statistical algorithm has been developed to compensate for the fixed-pattern noise associated with spatial nonuniformity and temporal drift in the response of focal-plane array infrared imaging systems. The algorithm uses initial scene data to generate initial estimates of the gain, the offset, and the variance of the additive electronic noise of each detector element. The algorithm then updates these parameters by use of subsequent frames and uses the updated parameters to restore the true image by use of a least-mean-square error finite-impulse-response filter. The algorithm is applied to infrared data, and the restored images compare favorably with those restored by use of a multiple-point calibration technique. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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