Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13598
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dc.contributor.authorANCUTI, Codruta-
dc.contributor.authorANCUTI, Cosmin-
dc.contributor.authorBEKAERT, Philippe-
dc.date.accessioned2012-04-27T12:12:25Z-
dc.date.available2012-04-27T12:12:25Z-
dc.date.issued2011-
dc.identifier.citationReal, P.; Diaz Pernil, D.; Molina Abril, H.; Berciano, A.; Kropatsch, W. (Ed.). COMPUTER ANALYSIS OF IMAGES AND PATTERNS: 14TH INTERNATIONAL CONFERENCE, CAIP 2011, PT 2, p. 245-252-
dc.identifier.isbn978-3-642-23677-8-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/1942/13598-
dc.description.abstractWe present a novel strategy to restore outdoor images degraded by the atmospheric phenomena such as haze or fog. Since both the depth map of the scene and the airlight constant are unknown, this problem is mathematically ill-posed. Firstly, we present a straightforward approach that is able to estimate accurately the airlight constant by searching the regions with the highest intensity. Afterwards, based on a graphical Markov random field (MRF) model, we introduce a robust optimization framework that is able to transport the local minima over large neighborhoods while smoothing the transmission map but also preserving the important depth discontinuities of the estimated depth. The method has been tested extensively for real outdoor images degraded by haze or fog. The comparative results with the existing state-of-the-art techniques demonstrate the advantage of our approach.-
dc.language.isoen-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.relation.ispartofseriesLecture Notes in Computer Science-
dc.subject.otherComputer Science; Theory & Methods-
dc.titleSingle Image Restoration of Outdoor Scenes-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsReal, P.-
local.bibliographicCitation.authorsDiaz Pernil, D.-
local.bibliographicCitation.authorsMolina Abril, H.-
local.bibliographicCitation.authorsBerciano, A.-
local.bibliographicCitation.authorsKropatsch, W.-
local.bibliographicCitation.conferencedateAugust 29-31, 2011-
local.bibliographicCitation.conferencename14th International Conference on Computer Analysis of Images and Patterns (CAIP)-
local.bibliographicCitation.conferenceplaceSeville, Spain-
dc.identifier.epage252-
dc.identifier.spage245-
dc.identifier.volume6855-
local.format.pages8-
local.bibliographicCitation.jcatC1-
dc.description.notesAncuti, CO (reprint author), [Ancuti, Codruta Orniana; Ancuti, Cosmin; Bekaert, Philippe] Hasselt Univ, tUL, IBBT, Expertise Ctr Digital Media, B-3590 Diepenbeek, Belgium. codruta.orniana@uhasselt.be; cosmin.ancuti@uhasselt.be; philippe.bekaert@uhasselt.be-
local.publisher.placeBERLIN-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr6855-
dc.bibliographicCitation.oldjcatC1-
dc.identifier.doi10.1007/978-3-642-23678-5_28-
dc.identifier.isi000300567300028-
local.bibliographicCitation.btitleCOMPUTER ANALYSIS OF IMAGES AND PATTERNS: 14TH INTERNATIONAL CONFERENCE, CAIP 2011, PT 2-
item.accessRightsClosed Access-
item.fullcitationANCUTI, Codruta; ANCUTI, Cosmin & BEKAERT, Philippe (2011) Single Image Restoration of Outdoor Scenes. In: Real, P.; Diaz Pernil, D.; Molina Abril, H.; Berciano, A.; Kropatsch, W. (Ed.). COMPUTER ANALYSIS OF IMAGES AND PATTERNS: 14TH INTERNATIONAL CONFERENCE, CAIP 2011, PT 2, p. 245-252.-
item.fulltextNo Fulltext-
item.validationecoom 2013-
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