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http://hdl.handle.net/1942/26440
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DC Field | Value | Language |
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dc.contributor.author | ANCUTI, Codruta | - |
dc.contributor.author | ANCUTI, Cosmin | - |
dc.contributor.author | De Vleeschouwer, Christophe | - |
dc.contributor.author | BEKAERT, Philippe | - |
dc.date.accessioned | 2018-07-27T12:56:47Z | - |
dc.date.available | 2018-07-27T12:56:47Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON IMAGE PROCESSING, 27(1), p. 379-393 | - |
dc.identifier.issn | 1057-7149 | - |
dc.identifier.uri | http://hdl.handle.net/1942/26440 | - |
dc.description.abstract | We introduce an effective technique to enhance the images captured underwater and degraded due to the medium scattering and absorption. Our method is a single image approach that does not require specialized hardware or knowledge about the underwater conditions or scene structure. It builds on the blending of two images that are directly derived from a color-compensated and white-balanced version of the original degraded image. The two images to fusion, as well as their associated weight maps, are defined to promote the transfer of edges and color contrast to the output image. To avoid that the sharp weight map transitions create artifacts in the low frequency components of the reconstructed image, we also adapt a multiscale fusion strategy. Our extensive qualitative and quantitative evaluation reveals that our enhanced images and videos are characterized by better exposedness of the dark regions, improved global contrast, and edges sharpness. Our validation also proves that our algorithm is reasonably independent of the camera settings, and improves the accuracy of several image processing applications, such as image segmentation and keypoint matching. | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.rights | © 2017 IEEE. Translations and content mining are permitted for academic research only | - |
dc.subject.other | underwater; image fusion; white-balancing | - |
dc.subject.other | Underwater; image fusion; white-balancing | - |
dc.title | Color Balance and Fusion for Underwater Image Enhancement | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 393 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 379 | - |
dc.identifier.volume | 27 | - |
local.format.pages | 15 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | [Ancuti, Codruta O.; Ancuti, Cosmin] Univ Politehn Timisoara, MEO, Timisoara 300023, Romania. [De Vleeschouwer, Christophe] Catholic Univ Louvain, ICTEAM, B-1348 Louvain La Neuve, Belgium. [Bekaert, Philippe] Hasselt Univ, Expertise Ctr Digital Media, B-3590 Hasselt, Belgium. | - |
local.publisher.place | PISCATAWAY | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.class | dsPublValOverrule/author_version_not_expected | - |
dc.identifier.doi | 10.1109/TIP.2017.2759252 | - |
dc.identifier.isi | 000414699100016 | - |
item.validation | ecoom 2018 | - |
item.fulltext | With Fulltext | - |
item.fullcitation | ANCUTI, Codruta; ANCUTI, Cosmin; De Vleeschouwer, Christophe & BEKAERT, Philippe (2018) Color Balance and Fusion for Underwater Image Enhancement. In: IEEE TRANSACTIONS ON IMAGE PROCESSING, 27(1), p. 379-393. | - |
item.accessRights | Open Access | - |
item.contributor | ANCUTI, Codruta | - |
item.contributor | ANCUTI, Cosmin | - |
item.contributor | De Vleeschouwer, Christophe | - |
item.contributor | BEKAERT, Philippe | - |
crisitem.journal.issn | 1057-7149 | - |
crisitem.journal.eissn | 1941-0042 | - |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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08058463.pdf | Published version | 12.13 MB | Adobe PDF | View/Open |
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