Restoration and Enhancement of Underwater Images Based on Bright Channel Prior

Joint Authors

Gao, Yakun
Li, Haibin
Wen, Shuhuan

Source

Mathematical Problems in Engineering

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-15, 15 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-11-22

Country of Publication

Egypt

No. of Pages

15

Main Subjects

Civil Engineering

Abstract EN

This paper proposed a new method of underwater images restoration and enhancement which was inspired by the dark channel prior in image dehazing field.

Firstly, we proposed the bright channel prior of underwater environment.

By estimating and rectifying the bright channel image, estimating the atmospheric light, and estimating and refining the transmittance image, eventually underwater images were restored.

Secondly, in order to rectify the color distortion, the restoration images were equalized by using the deduced histogram equalization.

The experiment results showed that the proposed method could enhance the quality of underwater images effectively.

American Psychological Association (APA)

Gao, Yakun& Li, Haibin& Wen, Shuhuan. 2016. Restoration and Enhancement of Underwater Images Based on Bright Channel Prior. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1111983

Modern Language Association (MLA)

Gao, Yakun…[et al.]. Restoration and Enhancement of Underwater Images Based on Bright Channel Prior. Mathematical Problems in Engineering No. 2016 (2016), pp.1-15.
https://search.emarefa.net/detail/BIM-1111983

American Medical Association (AMA)

Gao, Yakun& Li, Haibin& Wen, Shuhuan. Restoration and Enhancement of Underwater Images Based on Bright Channel Prior. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1111983

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1111983