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Proceedings Paper

Pre-processing for noise reduction in depth estimation
Author(s): Seong-O Shim; Aamir Saeed Malik; Tae-Sun Choi
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Paper 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.

Paper Details

Date Published: 26 February 2010
PDF: 7 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754625 (26 February 2010); doi: 10.1117/12.853050
Show Author Affiliations
Seong-O Shim, Gwangju Institute of Science and Technology (Korea, Republic of)
Aamir Saeed Malik, Univ.Teknologi Petronas (Malaysia)
Tae-Sun Choi, Gwangju Institute of Science and Technology (Korea, Republic of)


Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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