Publication:
BBMS: Investigation to Single Colour Image Visibility Improvement in Turbid Media through Biorthogonal Wavelet Based Depth-map Estimation

creativeworkseries.issn2079-3537
dc.contributor.authorSangita Roy
dc.date.accessioned2024-11-15T09:19:12Z
dc.date.available2024-11-15T09:19:12Z
dc.date.issued2024
dc.description.abstractElectronic imaging needs good quality, high resolution (HR) digital images for highlighting finer details of the image. Normally images captured by ordinary digital camera are post pro cessed with available software instead of high cost CMOS sensor phased camera. Problem commonly faced with these images may get degraded due to the scattering media which deteriorates contrast, shifts colour, and make overall image whitish. Information from the distant objects suffer from poor medium transmission as well as noise amplification. Biorthogonal wavelet denoising (BWD), compress sparsely in frequency -time space, removes noise from depth estimation and makes the transmission smooth. Moreover, single image recovery is a serious challenge and ill posed problem. The recovered image improves compare to degraded image significantly and dis cards possibility of false edge detection as well as prevent colour shift and low contrast. Good quality images are found with objective evaluation. Moreover, different wavelets, thresholds, and decomposition levels have been studied and compared. Time complexity is linear due to wavelet domain analysis which makes the technique fast, reliable, and visually pleasing.
dc.identifier.doi10.26583/sv.16.2.03
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/16197
dc.identifier.urihttp://sv-journal.org/2024-2/03/
dc.publisherНИЯУ МИФИ
dc.subjectIQA (Image Quality Assessment)
dc.subjectQuality Assessment
dc.subjectDehazing
dc.subjectScattering media
dc.subjectImage recovery model
dc.subjectDenoising
dc.subjectBiorthogonal wavelet
dc.titleBBMS: Investigation to Single Colour Image Visibility Improvement in Turbid Media through Biorthogonal Wavelet Based Depth-map Estimation
dc.typeArticle
dspace.entity.typePublication
journal.titleНаучная визуализация
journalvolume.identifier.nameНаучная визуализация
relation.isJournalIssueOfPublication464a0fa4-c7a0-4b2a-bf69-fb523f51dddb
relation.isJournalIssueOfPublication.latestForDiscovery464a0fa4-c7a0-4b2a-bf69-fb523f51dddb
relation.isJournalOfPublication95b5bb8c-faac-4680-a70f-5adf56268bdc
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