NDLI: Enhancing underwater images and videos by fusion

Content Provider	IEEE Xplore Digital Library
Author	Ancuti, C. Ancuti, C.O. Haber, T. Bekaert, P.
Copyright Year	2012
Description	Author affiliation: Hasselt University - tUL - IBBT, EDM, Belgium (Ancuti, C.; Ancuti, C.O.; Haber, T.; Bekaert, P.)
Abstract	This paper describes a novel strategy to enhance underwater 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 overcome the limitations of the underwater medium we define two inputs that represent color corrected and contrast enhanced 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 fusion 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 addition, the utility of our enhancing technique is proved for several challenging applications.
Starting Page	81
Ending Page	88
File Size	570112
Page Count	8
File Format	PDF
ISBN	9781467312264
ISSN	10636919
e-ISBN	9781467312288
e-ISBN	9781467312271
DOI	10.1109/CVPR.2012.6247661
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image color analysis Videos Image edge detection Image restoration Noise Laplace equations Lighting
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Edge foci interest points

Blur kernel estimation using normalized color-line priors

Fusion-based restoration of the underwater images

A hierarchical image clustering cosegmentation framework

Encoding based saliency detection for videos and images

Efficient edge detection using two scales

Enhancement and noise reduction of very low light level images

An edge-preserving filtering framework for visibility restoration

Pixel-Level Hand Detection in Ego-centric Videos

Enhancing underwater images and videos by fusion

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Edge foci interest points

Blur kernel estimation using normalized color-line priors

Fusion-based restoration of the underwater images

A hierarchical image clustering cosegmentation framework

Encoding based saliency detection for videos and images

Efficient edge detection using two scales

Enhancement and noise reduction of very low light level images

An edge-preserving filtering framework for visibility restoration

Pixel-Level Hand Detection in Ego-centric Videos

Enhancing underwater images and videos by fusion