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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13914

Title: Enhancing Underwater Images and Videos by Fusion
Authors: Ancuti, Cosmin
Ancuti, Codruta Orniana
Haber, Tom
Bekaert, Philippe
Issue Date: 2012
Publisher: IEEE
Citation: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, p. 81-88
Abstract: This paper describes a novel strategy to enhance under- water videos and images. Built on the fusion principles, our strategy derives the inputs and the weight measures only from the degraded version of the image. In order to over- come the limitations of the underwater medium we define two inputs that represent color corrected and contrast en- hanced versions of the original underwater image/frame, but also four weight maps that aim to increase the visibility of the distant objects degraded due to the medium scattering and absorption. Our strategy is a single image approach that does not require specialized hardware or knowledge about the underwater conditions or scene structure. Our fu- sion framework also supports temporal coherence between adjacent frames by performing an effective edge preserving noise reduction strategy. The enhanced images and videos are characterized by reduced noise level, better exposed- ness of the dark regions, improved global contrast while the finest details and edges are enhanced significantly. In ad- dition, the utility of our enhancing technique is proved for several challenging applications.
URI: http://hdl.handle.net/1942/13914
ISI #: 000309166200011
ISBN: 9781467312264
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2013
Appears in Collections: Research publications

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