26 February 2010 Pre-processing for noise reduction in depth estimation
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Proceedings Volume 7546, Second International Conference on Digital Image Processing; 754625 (2010) https://doi.org/10.1117/12.853050
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
Abstract
The objective of the 3D shape estimation from focus is to estimate depth map of the scene or object based on best focus points from camera lens. In shape from focus (SFF), the measure of focus - sharpness - is the crucial part for final 3D shape estimation. However the noise imposed during image acquisition process by imaging system prevents exact focus measure. The traditional noise filters remove not only noise but also sharpness information. In this paper, mean shift algorithm was applied to remove noise imposed by the imaging process while minimizing loss of informative edges. Experimental results show that the mean shift algorithm can be applied before computing focus measure from image sequence corrupted by Gaussian noise and Impulse noise. Applying mean shift filtering before computing focus measure is promising in case the noise type during image acquisition is not known.
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Seong-O Shim, Seong-O Shim, Aamir Saeed Malik, Aamir Saeed Malik, Tae-Sun Choi, Tae-Sun Choi, } "Pre-processing for noise reduction in depth estimation", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754625 (26 February 2010); doi: 10.1117/12.853050; https://doi.org/10.1117/12.853050
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