Underwater image enhancement based on red channel weighted compensation and gamma correction model

(整期优先)网络出版时间:2018-10-20
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Duetothespecialcharacteristicsoflightinwater,theinformationoftheredchannelisseriouslyattenuatedincollectedimage.Thiscausesothercolorstodominatetheimage.Thispaperproposesanunderwaterimageenhancementalgorithmbasedonredchannelweightedcompensationandgammacorrectionmodel.Firstly,byanalyzingtheattenuationcharacteristicsofRGBchannels,theintensityandtheedgeinformationofredchannelarecompensatedbyweightingtheattenuationcoefficientratiobetweendifferentchannelstocorrectthechromaticity.Thenthegammacorrectionmodelisemployedtostretchtheintensityrangetoenhancethecontrastwhichmakestheimagelookclearer.Theexperimentalresultsshowthattheproposedalgorithmcancorrectthecolorcasteffectandimprovethecontrastbynearly2timesfortheunderwaterimageswithtoomuchredcomponentattenuation.