Radiometric CCD camera calibration and noise estimation
Healey, G.E.
Kondepudy, R.
Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Mar 1994
Volume: 16,
Issue: 3
On page(s): 267-276
ISSN: 0162-8828
References Cited: 26
CODEN: ITPIDJ
INSPEC Accession Number: 4679815
Digital Object Identifier: 10.1109/34.276126
Current Version Published: 2002-08-06
Abstract
Changes in measured image irradiance have many physical causes and
are the primary cue for several visual processes, such as edge detection
and shape from shading. Using physical models for charged-coupled device
(CCD) video cameras and material reflectance, we quantify the variation
in digitized pixel values that is due to sensor noise and scene
variation. This analysis forms the basis of algorithms for camera
characterization and calibration and for scene description.
Specifically, algorithms are developed for estimating the parameters of
camera noise and for calibrating a camera to remove the effects of fixed
pattern nonuniformity and spatial variation in dark current. While these
techniques have many potential uses, we describe in particular how they
can be used to estimate a measure of scene variation. This measure is
independent of image irradiance and can be used to identify a surface
from a single sensor band over a range of situations. Experimental
results confirm that the models presented in this paper are useful for
modeling the different sources of variation in real images obtained from
video cameras
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