Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/509500
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dc.coverage.spatialDehazing algorithms for visibility improvement of degraded single underwater images
dc.date.accessioned2023-08-29T06:23:21Z-
dc.date.available2023-08-29T06:23:21Z-
dc.identifier.urihttp://hdl.handle.net/10603/509500-
dc.description.abstractnewlineMedia and imageries are potent and effective means of communication. They offer a meaningful interpretation of concepts and data. Images help people to process visual information faster with improved comprehension than text. The earth has over 71% of the water expanse, of which more than 80% is not explored or even seen. Underwater Images (UIs) using Remotely Operated Vehicles (ROV), such as underwater robots and submarines with suitable cameras, are required to discover the underwater environment. The images are obtained for the motive of archaeological survey, an inspection of flora, fauna, oil wells and computer vision applications. Computer vision is a branch of artificial intelligence allowing computers to obtain eloquent information with digital images or videos. Based on the image interpretation, necessary actions or recommendations are implemented. newlineImages thus obtained have to be preprocessed before subjecting to it any application for accurate results. This preprocessing is mainly categorized as Enhancement (EN) and Restoration (RN). The EN operations aim to improve contrast and reduce colour cast, saturation and noise, and is achieved by working on the pixel values for the change. The RN operations, however, follow an Image Formation Classical
dc.format.extentxv, 132p.
dc.languageEnglish
dc.relationp.121-131
dc.rightsuniversity
dc.titleDehazing algorithms for visibility improvement of degraded single underwater images
dc.title.alternative
dc.creator.researcherMary Cecilia S
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.subject.keywordEnhancement
dc.subject.keywordMedia
dc.subject.keywordparameters
dc.description.note
dc.contributor.guideSakthivel Murugan S
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions21 c m
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
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01_title.pdfAttached File192.87 kBAdobe PDFView/Open
02_prelim.pdf2.02 MBAdobe PDFView/Open
03_content.pdf177.45 kBAdobe PDFView/Open
04_abstract.pdf162 kBAdobe PDFView/Open
05_chapter 1.pdf464.65 kBAdobe PDFView/Open
06_chapter 2.pdf291.6 kBAdobe PDFView/Open
07_chapter 3.pdf693.48 kBAdobe PDFView/Open
08_chapter 4.pdf1.01 MBAdobe PDFView/Open
09_chapter 5.pdf756.66 kBAdobe PDFView/Open
10_annexures.pdf187.81 kBAdobe PDFView/Open
80_recommendation.pdf155.8 kBAdobe PDFView/Open


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