Abstract
We present an original method for the online blind calibration of non-uniform photodetectors. The disparity of the detectors may arise from both irregular spatial arrangement and distinct slowly time-varying photometric transfer functions. As natural images are mostly continuous, the signal collected by neighboring detectors is strongly correlated over time. The core idea of our method is to translate the calibration problem into relative pairwise calibrations between neighboring detectors followed by the regularized inversion of a system akin to gradient-based surface recovery. From our blind calibration procedure, we design an online blind calibration pipeline compatible with clinical practice. Online blind calibration is proved to be statistically better than standard offline calibration for reconstructing endomicroscopy sequences.
Description: Online blind calibration versus offline calibration for endomicroscopy reconstruction.
Chapter PDF
Similar content being viewed by others
Keywords
- Orthogonal Regression
- Intrinsic Image
- Irregular Spatial Arrangement
- Robust Linear Regression
- Calibration Quality
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Le Goualher, G., Perchant, A., Genet, M., Cavé, C., Viellerobe, B., Berier, F., Abrat, B., Ayache, N.: Towards Optical Biopsies with an Integrated Fibered Confocal Fluorescence Microscope. In: Barillot, C., Haynor, D.R., Hellier, P. (eds.) MICCAI 2004. LNCS, vol. 3217, pp. 761–768. Springer, Heidelberg (2004)
Winter, C., Rupp, S., Elter, M., Münzenmayer, C., Gerhäuser, H., Wittenberg, T.: Automatic adaptive enhancement for images obtained with fiberscopic endoscopes. IEEE Trans. Biomed. Eng. 53(10), 2035–2046 (2006)
Elter, M., Rupp, S., Winter, C.: Physically motivated reconstruction of fiberscopic images. In: Proc. ICPR 2006, vol. 3, pp. 599–602 (August 2006)
Kuhn, J.R., Lin, H., Loranz, D.: Gain calibrating nonuniform image-array data using only the image data. In: Proc. ASPC 1991, vol. 103, pp. 1097–1108 (1991)
Weiss, Y.: Deriving intrinsic images from image sequences. In: Proc. ICCV 2001, vol. 2, pp. 68–75 (2001)
Rudin, L.I., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Phys. D 60(1-4), 259–268 (1992)
Pérez, P., Gangnet, M., Blake, A.: Poisson image editing. ACM Trans. Graph. 22(3), 313–318 (2003)
Agrawal, A., Chellappa, R., Raskar, R.: An algebraic approach to surface reconstruction from gradient fields. In: Proc. ICCV 2005, vol. 1, pp. 174–181 (2005)
Markovsky, I., Van Huffel, S.: Overview of total least-squares methods. Signal Processing 87(10), 2283–2302 (2007)
Berglund, A.J.: Nonexponential statistics of fluorescence photobleaching. J. Chem. Phys. 121(7), 2899- -2903 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Savoire, N., André, B., Vercauteren, T. (2012). Online Blind Calibration of Non-uniform Photodetectors: Application to Endomicroscopy. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. MICCAI 2012. Lecture Notes in Computer Science, vol 7512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33454-2_79
Download citation
DOI: https://doi.org/10.1007/978-3-642-33454-2_79
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33453-5
Online ISBN: 978-3-642-33454-2
eBook Packages: Computer ScienceComputer Science (R0)