Oceans 2010 MTS/Ieee Seattle 2010
DOI: 10.1109/oceans.2010.5664428
|View full text |Cite
|
Sign up to set email alerts
|

Initial results in underwater single image dehazing

Abstract: As light is transmitted from subject to observer it is absorbed and scattered by the medium it passes through. In mediums with large suspended particles, such as fog or turbid water, the effect of scattering can drastically decrease the quality of images. In this paper we present an algorithm for removing the effects of light scattering, referred to as dehazing, in underwater images. Our key contribution is to propose a simple, yet effective, prior that exploits the strong difference in attenuation between the… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
236
0

Year Published

2013
2013
2021
2021

Publication Types

Select...
5
4
1

Relationship

0
10

Authors

Journals

citations
Cited by 334 publications
(267 citation statements)
references
References 17 publications
0
236
0
Order By: Relevance
“…Therein, we realize that (25) is the method that recovers the least vivid colors. On the other hand, the methods in (18), (19) and (26) are obtaining very saturated colors, but clearly sacrificing the reduction of color dominance, and to some extent, also color cast. We thus see that, among the three methods that are able to reduce color dominance and color cast, Ancuti's method (9) and ours are again ranked as the first/second with respect to the ability to retrieve intense colors.…”
Section: Color Correction Evaluationmentioning
confidence: 99%
“…Therein, we realize that (25) is the method that recovers the least vivid colors. On the other hand, the methods in (18), (19) and (26) are obtaining very saturated colors, but clearly sacrificing the reduction of color dominance, and to some extent, also color cast. We thus see that, among the three methods that are able to reduce color dominance and color cast, Ancuti's method (9) and ours are again ranked as the first/second with respect to the ability to retrieve intense colors.…”
Section: Color Correction Evaluationmentioning
confidence: 99%
“…Consequently, the dark channel will be estimated by the relation between red and blue/green channels [Carlevaris- Bianco et al 2010]. Other researchers tried neglecting the red channel [Wen et al 2013].…”
Section: Automatic Underwater Image Enhancementmentioning
confidence: 99%
“…Preprocessing of underwater images was largely studied and methods have been developed to correct common underwater image artifacts (Bazeille et al 2006;Carlevaris-Bianco et al 2010;Prabhakar & Kumar 2012). However, the resulting image quality is subjective to the observer, and because acquisition conditions can be so different, these methods may not apply well to all datasets.…”
Section: Previous Workmentioning
confidence: 99%