Premium
Camera characterization for color research
Author(s) -
Barnard Kobus,
Funt Brian
Publication year - 2002
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/col.10050
Subject(s) - linearization , characterization (materials science) , computer science , digital camera , artificial intelligence , computer vision , camera auto calibration , single camera , computer graphics (images) , camera resectioning , optics , physics , nonlinear system , quantum mechanics
In this article we introduce a new method for estimating camera sensitivity functions from spectral power input and camera response data. We also show how the procedure can be extended to deal with camera nonlinearities. Linearization is an important part of camera characterization, and we argue that it is best to jointly fit the linearization and the sensor response functions. We compare our method with a number of others, both on synthetic data and for the characterization of a real camera. All data used in this study is available online at www.cs.sfu.ca/∼colour/data . © 2002 Wiley Periodicals, Inc. Col Res Appl, 27, 152–163, 2002; Published online in Wiley Interscience (www.interscience.wiley.com). DOI 10.1002/col.10050