Publication:
Single image enhancement in various weather conditions using Intensity and Saturation Deterioration Ratio

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dc.Conferencecode118992
dc.Conferencedate5 October 2015 through 7 October 2015
dc.ConferencenameInternational Conference on Computer, Control, Informatics and Its Applications, IC3INA 2015
dc.citedby1
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorAlajarmeh A.en_US
dc.contributor.authorSalam R.A.en_US
dc.contributor.authorMarhusin M.F.en_US
dc.contributor.authorKhairi Abdul Rahimen_US
dc.date.accessioned2024-05-28T08:29:48Z
dc.date.available2024-05-28T08:29:48Z
dc.date.issued2016
dc.description.abstractEnhancing images that are plagued with weather related conditions; such as haze, fog and rain poses a challenging problem due to its ill-posed nature, which means the unknowns that need to be found are more than the equations that we have. To address such challenges, a fast yet robust method is proposed in this paper where unknowns in the light scattering model are estimated based on physically sound assumptions. Light scattering model describes the formation of those phenomena in an image as a combination of airlight and the original scene, where this combination is controlled by how much transmission value present at the scene's point. The transmission value determines how much of the original scene's intensity were attenuated and how much airlight was added. The attenuation term of the light scattering model causes the reduction in contrast and the airlight term causes the effect of color shift. In this paper, Intensity Deterioration Ratio (IDR) and Saturation Deterioration Ratio (SDR) are proposed, where the former can be used to estimate the reduction of contrast and so gives a clue about the attenuation term, and the latter to estimate the reduction of chromaticity in a scene which gives a clue about the airlight term. IDR and SDR are therefore used to give us a new insight in using the light scattering model when enhancing images. � 2015 IEEE.
dc.description.natureFinalen_US
dc.editorLatifah A.L.en_US
dc.identifier.ArtNo7377758
dc.identifier.doi10.1109/IC3INA.2015.7377758
dc.identifier.epage125
dc.identifier.isbn9781480000000
dc.identifier.scopus2-s2.0-84963706450
dc.identifier.spage120
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84963706450&doi=10.1109%2fIC3INA.2015.7377758&partnerID=40&md5=bb4be904e9502fc60060305797a887f5
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/8919
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceeding - 2015 International Conference on Computer, Control, Informatics and Its Applications: Emerging Trends in the Era of Internet of Things, IC3INA 2015
dc.sourceScopus
dc.subjectIDRen_US
dc.subjectlight scattering modelen_US
dc.subjectSDRen_US
dc.subjectDeteriorationen_US
dc.subjectInformation scienceen_US
dc.subjectAirlighten_US
dc.subjectColor shiftsen_US
dc.subjectIll-posed naturesen_US
dc.subjectLight scattering modelen_US
dc.subjectRobust methodsen_US
dc.subjectTransmission valueen_US
dc.subjectLight scatteringen_US
dc.titleSingle image enhancement in various weather conditions using Intensity and Saturation Deterioration Ratioen_US
dc.typeArticleen_US
dspace.entity.typePublication

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