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http://hdl.handle.net/1942/15460
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DC Field | Value | Language |
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dc.contributor.author | ANCUTI, Codruta | - |
dc.contributor.author | ANCUTI, Cosmin | - |
dc.date.accessioned | 2013-08-22T09:41:47Z | - |
dc.date.available | 2013-08-22T09:41:47Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON IMAGE PROCESSING, 22 (8), p. 3271-3282 | - |
dc.identifier.issn | 1057-7149 | - |
dc.identifier.uri | http://hdl.handle.net/1942/15460 | - |
dc.description.abstract | Haze is an atmospheric phenomenon that significantly degrades the visibility of outdoor scenes. This is mainly due to the atmosphere particles that absorb and scatter the light. This paper introduces a novel single image approach that enhances the visibility of such degraded images. Our method is a fusion-based strategy that derives from two original hazy image inputs by applying a white balance and a contrast enhancing procedure. To blend effectively the information of the derived inputs to preserve the regions with good visibility, we filter their important features by computing three measures (weight maps): luminance, chromaticity, and saliency. To minimize artifacts introduced by the weight maps, our approach is designed in a multiscale fashion, using a Laplacian pyramid representation. We are the first to demonstrate the utility and effectiveness of a fusion-based technique for dehazing based on a single degraded image. The method performs in a per-pixel fashion, which is straightforward to implement. The experimental results demonstrate that the method yields results comparative to and even better than the more complex state-of-the-art techniques, having the advantage of being appropriate for real-time applications. | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject.other | Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic | - |
dc.subject.other | Single image dehazing; outdoor images; enhancing | - |
dc.title | Single Image Dehazing by Multi-Scale Fusion | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 3282 | - |
dc.identifier.issue | 8 | - |
dc.identifier.spage | 3271 | - |
dc.identifier.volume | 22 | - |
local.format.pages | 12 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | [Ancuti, Codruta Orniana; Ancuti, Cosmin] Hasselt Univ, Expertise Ctr Digital Media, B-3590 Diepenbeek, Belgium. | - |
local.publisher.place | PISCATAWAY | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
dc.identifier.doi | 10.1109/TIP.2013.2262284 | - |
dc.identifier.isi | 000321926600029 | - |
item.fulltext | No Fulltext | - |
item.validation | ecoom 2014 | - |
item.accessRights | Closed Access | - |
item.fullcitation | ANCUTI, Codruta & ANCUTI, Cosmin (2013) Single Image Dehazing by Multi-Scale Fusion. In: IEEE TRANSACTIONS ON IMAGE PROCESSING, 22 (8), p. 3271-3282. | - |
item.contributor | ANCUTI, Codruta | - |
item.contributor | ANCUTI, Cosmin | - |
crisitem.journal.issn | 1057-7149 | - |
crisitem.journal.eissn | 1941-0042 | - |
Appears in Collections: | Research publications |
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