eprintid: 1282
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/12/82
datestamp: 2023-11-09 15:49:26
lastmod: 2023-11-09 15:49:26
status_changed: 2023-11-09 15:39:23
type: conference_item
metadata_visibility: show
creators_name: Shim, S.-O.
creators_name: Malik, A.S.
creators_name: Choi, T.-S.
title: Pre-processing for noise reduction in depth estimation
ispublished: pub
keywords: 3DShape recovery; Depth from focus; Depth Map; Focus measure; Mean shift; Noise reductions; Shape from focus, Acoustic noise measurement; Digital image storage; Edge detection; Estimation; Gaussian noise (electronic); Image acquisition; Image sensors; Imaging systems; Impulse noise; Optoelectronic devices; Shape optimization; Vector quantization, Three dimensional
note: cited By 3; Conference of 2nd International Conference on Digital Image Processing ; Conference Date: 26 February 2010 Through 28 February 2010; Conference Code:79521
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
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77949459240&doi=10.1117%2f12.853050&partnerID=40&md5=c6ab79698df68bd8ffcab7735e89cb2d
id_number: 10.1117/12.853050
full_text_status: none
publication: Proceedings of SPIE - The International Society for Optical Engineering
volume: 7546
place_of_pub: Singapore
refereed: TRUE
isbn: 9780819479426
issn: 0277786X
citation:   Shim, S.-O. and Malik, A.S. and Choi, T.-S.  (2010) Pre-processing for noise reduction in depth estimation.  In: UNSPECIFIED.