relation: https://khub.utp.edu.my/scholars/1282/
title: Pre-processing for noise reduction in depth estimation
creator: Shim, S.-O.
creator: Malik, A.S.
creator: Choi, T.-S.
description: 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. © 2010 Copyright SPIE - The International Society for Optical Engineering.
date: 2010
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Shim, S.-O. and Malik, A.S. and Choi, T.-S.  (2010) Pre-processing for noise reduction in depth estimation.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77949459240&doi=10.1117%2f12.853050&partnerID=40&md5=c6ab79698df68bd8ffcab7735e89cb2d
relation: 10.1117/12.853050
identifier: 10.1117/12.853050