Acceleration algorithm for constant-statistics method applied to the nonuniformity correction of infrared sequences

• Autorzy: Jara-Chavez A. G. , Torres-Vicencio F. O.

Identyfikatory

DOI

10.1515/oere-2015-0014

• Konferencja: Advanced Infrared Technology and Applications - AITA 2013 (12 ; 10-13.09.2013 ; Turin, Italy)
• Języki publikacji: EN

Abstrakty

EN

Non-uniformity noise, it was, it is, and it will probably be one of the most non-desired attached companion of the infrared focal plane array (IRFPA) data. We present a higher order filter where the key advantage is based in its capacity to estimates the detection parameters and thus to compensate it for fixed pattern noise, as an enhancement of Constant Statistics (CS) theory. This paper shows a technique to improve the convergence in accelerated way for CS (AACS: Acceleration Algorithm for Constant Statistics). The effectiveness of this method is demonstrated by using simulated infrared video sequences and several real infrared video sequences obtained using two infrared cameras.

Słowa kluczowe

EN

infrared detectors; focal plane array; non-uniformity correction; fixed-pattern noise; ghosting artifact

• Wydawca: Stowarzyszenie Elektryków Polskich ; Polska Akademia Nauk ; Wojskowa Akademia Techniczna im. Jarosława Dąbrowskiego
• Czasopismo: Opto-Electronics Review
• Rocznik: 2015
• Tom: Vol. 23, No. 1
• Strony: 116--119
• Opis fizyczny: Bibliogr. 8 poz., il., wykr.

Twórcy

autor

Jara-Chavez A. G.

• University of The Frontera, 1145 Francisco Salazar Str., Temuco 4811230, Chile

autor

Torres-Vicencio F. O.

• University of The Frontera, 1145 Francisco Salazar Str., Temuco 4811230, Chile

Bibliografia

• 1. S. Torres and M. Hayat, "Kalman filtering for adaptive nonuniformity correction in infrared focal plane arrays”. J. Opt. Soc. Am. 20, 470-480 (2003).
• 2. D. Scribner, K. Sarkady, and M. Kruer, “Adaptive retina-like preprocessing for imaging detector arrays”. IEEE Proc. Int. Conf. Neural Networks 3, 1955-1960 (1993).
• 3. S. Torres, E. Vera, R. Reeves, and S. Sobarzo, “Adaptive scene-based nonuniformity correction method for infrared focal plane arrays”, Proc. SPIE 5076, 130-139 (2003).
• 4. E. Vera and S. Torres, “Fast adaptive nonuniformity correction for infrared focal plane arrays”, EURASIP J. Appl. Signal Process. 1994-2004 (2005).
• 5. F. Torres, S. Torres, and C. San Martin, “A recursive least square adaptive filter for nonuniformity correction of infrared image sequences”. LNCS 3773, 540-546 (2005).
• 6. F. Torres, C. San Martin, S. Torres, “A RLS filter for nonuniformity and ghosting correction of Infrared image sequences”, LNCS 4225, 446-454 (2006).
• 7. J.G. Harris and Y.M. Chiang, “Nonuniformity correction of infrared image sequences using the constant-statistics constraint”, IEEE T. Image Process. 8, 1148-1151 (1999).
• 8. J.G. Harris and Y.M. Chiang. “Non uniformity correction using the constant statics constraint: analog and digital implementation” . Proc. SPIE 3061, 895-905 (1997). doi: 10.1117/12. 280308.