Pixel-wise radiometric line scanner calibration

Calibrating the response function of a line scanner is very important in many fields of computer vision. We propose a method to reduce nonequivalence present in response functions of pixels. Contrary to current state-of-the-art methods our method uses a linear light source which is usually attached to line scanners for pixel-wise calibration. We define a radiant intensity function for a linear light source and fit it to captured images to calibrate the response function. We applied our method to a line sensing camera to remove streaking noise when scanning and experimental results showed a significant reduction of noise in the system.

[1]  Peyman Milanfar,et al.  Patch-Based Near-Optimal Image Denoising , 2012, IEEE Transactions on Image Processing.

[2]  W. James MacLean,et al.  CCD noise removal in digital images , 2006, IEEE Transactions on Image Processing.

[3]  Bernhard Schölkopf,et al.  Removing noise from astronomical images using a pixel-specific noise model , 2011, 2011 IEEE International Conference on Computational Photography (ICCP).

[4]  Jing-Yu Yang,et al.  Estimation of signal-dependent sensor noise via sparse representation of noise level functions , 2012, 2012 19th IEEE International Conference on Image Processing.

[5]  Takeo Kanade,et al.  Statistical calibration of CCD imaging process , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

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

[7]  Zhijun Pei,et al.  A Median Filter Method for Image Noise Variance Estimation , 2010, 2010 Second International Conference on Information Technology and Computer Science.

[8]  Shree K. Nayar,et al.  Multiple view image denoising , 2009, CVPR.