Radiometric calibration of CCD sensors: dark current and fixed pattern noise estimation

The irradiance measurement performed by vision cameras is not noise-free due to both processing errors during CCD fabrication and the behaviour of the electronic device itself. A proper characterization of sensor performance, however, allows either removing the resulting noise from the image or accounting for it within image processing algorithms. This paper proposes new methods for estimating the distribution parameters of two of such sources of noise: dark current and the so-called fixed pattern noise. Since both methods require knowledge about the scene illumination, an estimation method using a calibrating sphere is also presented. This method models illumination as the combination of directional and ambient lighting. Experimental results can be found at the end of the paper.

[1]  B K Horn,et al.  Calculating the reflectance map. , 1979, Applied optics.

[2]  Steven A. Shafer,et al.  Using color to separate reflection components , 1985 .

[3]  Berthold K. P. Horn Robot vision , 1986, MIT electrical engineering and computer science series.

[4]  Glenn Healey,et al.  Using color for geometry-insensitive segmentation , 1989 .

[5]  Glenn Healey,et al.  Radiometric CCD camera calibration and noise estimation , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Jean-Philippe Tarel Calibration Radiométrique de Caméra , 1995 .

[7]  Mubarak Shah,et al.  Analysis of shape from shading techniques , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[8]  H.M.G. Stokman Robust photometric invariance in machine color vision , 2000 .