Fuzzy-Based Adaptive Denoising of Underwater Images

Fuzzy-Based Adaptive Denoising of Underwater Images Image processing as an aid for underwater vision has been subject to intensified interest in the recent years. The major problem is that they are inherently affected by poor contrast and noise due to the attenuation of light, backscatter in the underwater environment and the quality of sensing elements in camera during acquisition. Image denoising as a preprocessing step is needed for extracting features and accurate object recognition. Adaptive filters are preferred because traditional techniques often result in excess smoothing and fail to preserve edges while removing noise. A fuzzy-based image denoising algorithm is proposed to retain edge information and as well remove noise for restoration of underwater images. The adaptive nature of the proposed algorithm was tested using varying degrees of Gaussian noise. Performance metrics like peak signal noise ratio, normalized mean square error and mean structural similarity index were used for evaluation. Experimental results show the proposed method can remove varying levels of Gaussian noise better than the traditional filters while still preserving 27% edges. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Fuzzy Systems Springer Journals

Fuzzy-Based Adaptive Denoising of Underwater Images

Loading next page...
 
/lp/springer_journal/fuzzy-based-adaptive-denoising-of-underwater-images-k8oiKdygM0
Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2017 by Taiwan Fuzzy Systems Association and Springer-Verlag Berlin Heidelberg
Subject
Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics); Operations Research, Management Science
ISSN
1562-2479
eISSN
2199-3211
D.O.I.
10.1007/s40815-016-0281-y
Publisher site
See Article on Publisher Site

Abstract

Image processing as an aid for underwater vision has been subject to intensified interest in the recent years. The major problem is that they are inherently affected by poor contrast and noise due to the attenuation of light, backscatter in the underwater environment and the quality of sensing elements in camera during acquisition. Image denoising as a preprocessing step is needed for extracting features and accurate object recognition. Adaptive filters are preferred because traditional techniques often result in excess smoothing and fail to preserve edges while removing noise. A fuzzy-based image denoising algorithm is proposed to retain edge information and as well remove noise for restoration of underwater images. The adaptive nature of the proposed algorithm was tested using varying degrees of Gaussian noise. Performance metrics like peak signal noise ratio, normalized mean square error and mean structural similarity index were used for evaluation. Experimental results show the proposed method can remove varying levels of Gaussian noise better than the traditional filters while still preserving 27% edges.

Journal

International Journal of Fuzzy SystemsSpringer Journals

Published: Jan 6, 2017

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off