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Enhancing the low quality images using unsupervised colour correction method

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dc.Conferencecode83423
dc.Conferencedate10 October 2010 through 13 October 2010
dc.ConferencelocationIstanbul
dc.Conferencename2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
dc.citedby92
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsCoventry University
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.affiliationsUniversiti Sains Malaysia (USM)
dc.contributor.authorIqbal K.en_US
dc.contributor.authorOdetayo M.en_US
dc.contributor.authorJames A.en_US
dc.contributor.authorSalam R.A.en_US
dc.contributor.authorTalib A.Z.Hj.en_US
dc.date.accessioned2024-05-29T01:56:27Z
dc.date.available2024-05-29T01:56:27Z
dc.date.issued2010
dc.description.abstractUnderwater images are affected by reduced contrast and non-uniform colour cast due to the absorption and scattering of light in the aquatic environment. This affects the quality and reliability of image processing and therefore colour correction is a necessary pre-processing stage. In this paper, we propose an Unsupervised Colour Correction Method (UCM) for underwater image enhancement. UCM is based on colour balancing, contrast correction of RGB colour model and contrast correction of HSI colour model. Firstly, the colour cast is reduced by equalizing the colour values. Secondly, an enhancement to a contrast correction method is applied to increase the Red colour by stretching red histogram towards the maximum (i.e., right side), similarly the Blue colour is reduced by stretching the blue histogram towards the minimum (i.e., left side). Thirdly, the Saturation and Intensity components of the HSI colour model have been applied for contrast correction to increase the true colour using Saturation and to address the illumination problem through Intensity. We compare our results with three well known methods, namely Gray World, White Patch and Histogram Equalisation using Adobe Photoshop. The proposed method has produced better results than the existing methods. �2010 IEEE.
dc.description.natureFinalen_US
dc.identifier.ArtNo5642311
dc.identifier.CODENPICYE
dc.identifier.doi10.1109/ICSMC.2010.5642311
dc.identifier.epage1709
dc.identifier.isbn9781420000000
dc.identifier.issn1062922X
dc.identifier.scopus2-s2.0-78751546025
dc.identifier.spage1703
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-78751546025&doi=10.1109%2fICSMC.2010.5642311&partnerID=40&md5=39ddd33a20f7eee6aa18f72ba91a7873
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9837
dc.languageEnglish
dc.language.isoen_US
dc.relation.ispartofConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
dc.sourceScopus
dc.subjectColour balancingen_US
dc.subjectColour cast correctionen_US
dc.subjectContrast correctionen_US
dc.subjectImage enhancementen_US
dc.subjectAbsorption and scattering of lighten_US
dc.subjectAdobe Photoshopen_US
dc.subjectAquatic environmentsen_US
dc.subjectColour balancingen_US
dc.subjectColour cast correctionen_US
dc.subjectColour modelsen_US
dc.subjectColour valueen_US
dc.subjectContrast correctionen_US
dc.subjectCorrection methoden_US
dc.subjectEqualisationen_US
dc.subjectExisting methoden_US
dc.subjectLow qualitiesen_US
dc.subjectNonuniformen_US
dc.subjectPre-processingen_US
dc.subjectRGB coloursen_US
dc.subjectUnderwater imageen_US
dc.titleEnhancing the low quality images using unsupervised colour correction method
dc.typeConference Paperen_US
dspace.entity.typePublication

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