A note on multi-image denoising

Toni BUADES*, Yifei LOU, J. M. MOREL, Zhongwei TANG

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

75 Citations (Scopus)

Abstract

Taking photographs under low light conditions with a handheld camera is problematic. A long exposure time can cause motion blur due to the camera shaking and a short exposure time gives a noisy image. We consider the new technical possibility offered by cameras that take image bursts. Each image of the burst is sharp but noisy. In this preliminary investigation, we explore a strategy to efficiently denoise multi-images or video. The proposed algorithm is a complex image processing chain involving accurate registration, video equalization, noise estimation and the use of state-of-the-art denoising methods. Yet, we show that this complex chain may become risk free thanks to a key feature: the noise model can be estimated accurately from the image burst. Preliminary tests will be presented. On the technical side, the method can already be used to estimate a non parametric camera noise model from any image burst. ©2009 IEEE.
Original languageEnglish
Title of host publication2009 International Workshop on Local and Non-Local Approximation in Image Processing, LNLA 2009: Proceedings
PublisherIEEE
Pages1-15
Number of pages15
ISBN (Electronic)9781424451678
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 International Workshop on Local and Non-Local Approximation in Image Processing - Tuusula, Finland
Duration: 19 Aug 200921 Aug 2009

Workshop

Workshop2009 International Workshop on Local and Non-Local Approximation in Image Processing
Abbreviated titleLNLA 2009
Country/TerritoryFinland
CityTuusula
Period19/08/0921/08/09

Funding

Research partially financed by the Centre National d’Etudes Spatiales and the Office of Naval research under grant N00014-97-1-0839.

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