Result: Statistical recursive filtering estimation of detector offset nonuniformity in infrared imaging systems

Title:
Statistical recursive filtering estimation of detector offset nonuniformity in infrared imaging systems
Source:
Progress in pattern recognition, image analysis and applications (11th Iberoamerican congress in pattern recognition, CIARP 2006, Cancun, Mexico, November 14-17, 2006)0CIARP 2006. :464-473
Publisher Information:
Berlin; Heidelberg; New York: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 7 ref 1
Original Material:
INIST-CNRS
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Electrical Engineering, University of Concepción. Casilla 160-C, Concepción, Chile
Department of Electrical Engineering, University of La Frontera. Casilla 54-D, Temuco, Chile
ISSN:
0302-9743
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19078980
Database:
PASCAL Archive

Further Information

In this paper, a recursive filter to estimate the offset nonuniformity for infrared focal plane array imaging systems, using only the scene data, is presented. The proposed algorithm operates frame by frame in a pixel-by-pixel basis and there is not inter-related operations among the detectors. The method assumes that the input irradiance at each detector is a random and uniformly distributed variable in a range that is common to all detectors in the infrared focal plane array. The method is designed to operate in infrared imaging system, which exhibit important offset nonuniformities with slow temporal drift. The ability of the method to compensate for offset nonuniformity is demonstrated by employing several infrared video sequences obtained using an infrared camera.