High dynamic range imaging method for interferometry

Loading...
Thumbnail Image
Full text at PDC
Publication date

2011

Advisors (or tutors)
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Science B. V.
Citations
Google Scholar
Citation
[1] D. Malacara, M. Servín, Z. Malacara, Interferogram Analysis for Optical Testing, Marcel Dekker Inc, 1998. [2] P.E. Debevec, J. Malik, Recovering high dynamic range radiance maps from photographs, SIGGRAPH, 97, 1997, p. 369. [3] J. Vargas, J.A. Quiroga, T. Koninckx, L. Van Gool, Opt. Eng 47 (5) (2008). [4] J. Vargas, L. González-Fernandez, J. Antonio Quiroga, T. Belenguer, Appl. Opt. 49 (2010) 2409. [5] Roger M. Groves, Pedrini Giancarlo, Osten Wolfgang, Appl. Opt. 47 (2008) 5550. [6] J.A. Quiroga, M. Servín, Opt. Commun. 224 (2003) 221. [7] B. Strobel, Appl. Opt. 35 (13) (1996) 2192. [8] http://goo.gl/4y1Ql.
Abstract
We demonstrate a method to easily and quickly extend the dynamic range imaging capabilities of the camera in a typical interferometric approach. The camera dynamic range is usually low and limited to 256 gray levels. Also, it is well known that one may have over or under-exposed regions in the interferogram (due to non-uniform illumination) which makes these image regions not reliable. In our proposed method it is not necessary to obtain or use the non-linear camera response curve in order to extend the camera dynamic range. We obtain a sequence of differently exposed interferograms, typically five or six; after that, we compute the corresponding normalized fringe patterns and modulation maps using a typical normalization method. These normalized patterns are combined through a temporal weighted average using as weights the corresponding modulation maps. We show a set of experimental results that prove the effectiveness of the proposed method.
Research Projects
Organizational Units
Journal Issue
Description
© 2011 Elsevier Science B. V.
Keywords
Collections