3D image denoising using stereo correspondences

Ngai Li, Jim S. Jimmy Li, Sharmil Randhawa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose an image denoising algorithm for 3D demosaicked images. Each color component of the 3D stereo images is processed for noise reduction by identifying the stereo correspondences between two stereo images at subpixel accuracy. Using our proposed method, it has been experimentally shown that there is visual improvement in the demosaicked output images using a realistic signal-dependent noise model with demonstration of a higher signal-to-noise ratio (SNR).

Original languageEnglish
Title of host publicationTENCON 2015 - 2015 IEEE Region 10 Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479986415
DOIs
Publication statusPublished - 5 Jan 2016
EventTENCON: IEEE Region 10 International Conference - Macao, China
Duration: 1 Nov 20154 Nov 2015
https://ieeexplore.ieee.org/xpl/conhome/7365563/proceeding

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume2016-January
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Conference

ConferenceTENCON
Country/TerritoryChina
CityMacao
Period1/11/154/11/15
Internet address

Keywords

  • 3D images
  • demosaicking
  • image denoising
  • stereo correspondences

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