Spectral characterisation of electronic cameras

In order to properly calibrate an electronic camera for a variety of illuminants it is necessary to estimate the spectral sensitivity of the camera. This spectral characterisation is obtained by measuring a set of samples of known spectral reeectances and by inverting the resulting system of linear equations. In the presence of noise, this system inversion is not straightforward. We describe several approaches to this problem. In particular we show that the choice of samples is of great importance for the quality of the characterisation, and we present an algorithm for the choice of a reduced number of samples.

[1]  Hongsuk Kim,et al.  Development of Spectral Sensitivity Measurement System of Image Sensor Devices , 1995, Color Imaging Conference.

[2]  Doron Sherman,et al.  Producing colorimetric data from film scanners using a spectral characterization target , 1994, Electronic Imaging.

[3]  Brian A. Wandell,et al.  How to Turn your Scanner into a Colorimeter , 1994 .

[4]  Tony Johnson,et al.  Methods for characterizing colour scanners and digital cameras , 1996 .

[5]  Henry R. Kang.  Color Technology for Electronic Imaging Devices , 1997 .

[6]  Hans Brettel,et al.  Color Management for Color Facsimile , 1996, Color Imaging Conference.

[7]  W K Pratt,et al.  Spectral estimation techniques for the spectral calibration of a color image scanner. , 1976, Applied optics.

[8]  Peter D. Burns,et al.  ANALYSIS OF IMAGE NOISE IN MULTISPECTRAL COLOR ACQUISITION , 1997 .

[9]  Gaurav Sharma,et al.  Set theoretic estimation in color scanner characterization , 1996, J. Electronic Imaging.

[10]  Gaurav Sharma,et al.  Characterization of Scanner Sensitivity , 1993, Color Imaging Conference.

[11]  J. Parkkinen,et al.  Characteristic spectra of Munsell colors , 1989 .

[12]  Brian A. Wandell,et al.  The Synthesis and Analysis of Color Images , 1992, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  L. Maloney.  Evaluation of linear models of surface spectral reflectance with small numbers of parameters. , 1986, Journal of the Optical Society of America. A, Optics and image science.

[14]  Paul M. Hubel,et al.  A Comparison of Methods of Sensor Spectral Sensitivity Estimation , 1994, Color Imaging Conference.

[15]  Brian A. Wandell,et al.  Rethinking the White Point , 1993, Color Imaging Conference.

[16]  Ron Gershon,et al.  Measurement and Analysis of Object Reflectance Spectra , 1994 .