Block-recursive filtering for offset nonuniformity estimation in infrared imaging systems: Theory and implementation

San Martin C.; Pezoa, JE; Torres, S.; Meza, P; Gutiérrez D.

Abstract

In an earlier work, a recursive filter to compensate for the offset nonuniformity (NU) noise corrupting the output of infrared (IR) imaging system was presented. Such a filter was derived assuming an estimation time-window short enough so that the offset NU can be regarded as a constant corrupted by additive noise. In this paper, the assumption on the stationarity of the offset NU noise has been relaxed by characterizing the dynamics of the offset NU using a Gauss-Markov random process. Based upon this model, a recursive filter that uses blocks of IR data to estimate the offset NU has been derived. A rigorous theoretical analysis of the filter has been conducted in order to provide expressions for appropriately selecting the parameters of the filter. The ability of the block-recursive filter to compensate for NU noise has been tested using raw IR videos from different IR cameras. In addition, the filter has been implemented and tested on-line in a prototype spectrally tunable IR camera. © 2009 Elsevier B.V. All rights reserved.

Más información

Título según WOS: Block-recursive filtering for offset nonuniformity estimation in infrared imaging systems: Theory and implementation
Título según SCOPUS: Block-recursive filtering for offset nonuniformity estimation in infrared imaging systems: Theory and implementation
Título de la Revista: PATTERN RECOGNITION LETTERS
Volumen: 31
Número: 6
Editorial: Elsevier
Fecha de publicación: 2010
Página de inicio: 478
Página final: 483
Idioma: English
URL: http://linkinghub.elsevier.com/retrieve/pii/S0167865509001871
DOI:

10.1016/j.patrec.2009.07.010

Notas: ISI, SCOPUS