Dense scattering layer removal
Refereed conference paper presented and published in conference proceedings


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AbstractWe propose a new model, together with advanced optimization, to separate a thick scattering media layer from a single natural image. It is able to handle challenging underwater scenes and images taken in fog and sandstorm, both of which are with significantly reduced visibility. Our method addresses the critical issue - this is, originally unnoticeable impurities will be greatly magnified after removing the scattering media layer - with transmission-aware optimization. We introduce non-local structure-aware regularization to properly constrain transmission estimation without introducing the halo artifacts. A selective-neighbor criterion is presented to convert the unconventional constrained optimization problem to an unconstrained one where the latter can be efficiently solved. Copyright © ACM.
All Author(s) ListYan Q., Xu L., Jia J.
Name of ConferenceSIGGRAPH Asia 2013 Technical Briefs, SA 2013
Start Date of Conference19/11/2013
End Date of Conference22/11/2013
Place of ConferenceHong Kong
Country/Region of ConferenceHong Kong
Detailed descriptionorganized by ACM,
Year2013
Month12
Day30
ISBN9781450326292
LanguagesEnglish-United Kingdom
KeywordsHaze removal, Noise reduction

Last updated on 2020-12-10 at 00:32