…
comment: The repository administrator has not yet configured an RDF license.
primary topic: Pre-processing for noise reduction in depth estimation

Pre-processing for noise reduction in depth estimation
type: AcademicArticle
type: Article
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. © 2010 Copyright SPIE - The International Society for Optical Engineering.
date: 2010
volume: 7546
is part of: Proceedings of SPIE - The International Society for Optical Engineering
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ConferenceItemEPrint
is part of: repository

Proceedings of SPIE - The International Society for Optical Engineering
type: Collection
issn: 0277786X

T.-S. Choi
type: Person
given name: T.-S.
family name: Choi

S.-O. Shim
type: Person
given name: S.-O.
family name: Shim

A.S. Malik
type: Person
given name: A.S.
family name: Malik

HTML Summary of #1282 Pre-processing for noise reduction in depth estimation
format: text/html
primary topic: Pre-processing for noise reduction in depth estimation