Low complexity DCT-based distributed source coding with Gray code for hyperspectral images-中国期刊网

摘要 Tocompresshyperspectralimages,alowcomplexitydiscretecosinetransform(DCT)-baseddistributedsourcecoding(DSC)schemewithGraycodeisproposed.UnlikemostoftheexistingDSCschemes,whichutilizetransforminspatialdomain,theproposedalgorithmappliestransforminspectraldomain.Set-partitioning-basedapproachisappliedtoreorganizeDCTcoefficientsintowaveletliketreestructureandextractthesign,refinement,andsignificancebitplanes.TheextractedrefinementbitsareGrayencoded.Becauseofthedependencyalongthelinedimensionofhyperspectralimages,lowdensityparitycheck-(LDPC)-basedSlepian-WolfcoderisadoptedtoimplementtheDSCstrategy.Experimentalresultsonairbornevisible/infraredimagingspectrometer(AVIRIS)datasetshowthattheproposedparadigmachievesupto6dBimprovementoverDSC-basedcoderswhichapplytransforminspatialdomain,withsignificantlyreducedcomputationalcomplexityandmemorystorage.

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Low complexity DCT-based distributed source coding with Gray code for hyperspectral images

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Low complexity DCT-based distributed source coding with Gray code for hyperspectral images

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