Self-Tuning Underwater Image Restoration

Author

Trucco, Emanuele ; Olmos-Antillon, Adriana T.

Author_Institution

Dept. of Electron. Eng., Heriot-Watt Univ., Edinburgh

Volume

31

Issue

2

fYear

2006

fDate

4/1/2006 12:00:00 AM

Firstpage

511

Lastpage

519

Abstract

A self-tuning image restoration filter based on a simplified version of the Jaffe-McGlamery underwater image formation model is presented. Optimal values of the filter parameters are estimated automatically for each individual image by optimizing a quality criterion based on a global contrast measure. The simplified model is ideally suitable for diffuse-light imaging with limited backscatter, but qualitative tests show good performance in a variety of imaging conditions. In addition, quantitative tests with a large number of frames from six real mission videos indicate a substantial performance improvement when restoration is used as a preprocessor for a classifier detecting man-made objects in unconstrained subsea videos

Keywords

backscatter; image restoration; self-adjusting systems; underwater optics; Jaffe-McGlamery underwater image formation; computer vision; diffuse-light imaging; global contrast measure; image restoration filter; man-made objects; self-tuning systems; subsea videos; Backscatter; Degradation; Filters; Image processing; Image restoration; Lighting; Physics computing; Sea measurements; Testing; Videos; Computer vision; image restoration; self-tuning systems;

fLanguage

English

Journal_Title

Oceanic Engineering, IEEE Journal of

Publisher

ieee

ISSN

0364-9059

Type

jour

DOI

10.1109/JOE.2004.836395

Filename

1707999