基于自然計(jì)算和視覺(jué)注意的圖像質(zhì)量評(píng)價(jià).pdf

1、西安電子科技大學(xué)碩士學(xué)位論文基于自然計(jì)算和視覺(jué)注意的圖像質(zhì)量評(píng)價(jià)姓名：張花申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：信號(hào)與信息處理指導(dǎo)教師：高新波20100101AbstractiiiAbstractInrecentyears，thescientifictheoriesandtechnicalmeansofdigitalimageshavedevelopedrapidlyandhavebeenwidelyappliedtosuchfieldsascomm

2、unications，industrymedicine，remotesensing，militaryetcTheypromotethedevelopmentofhumanscientificresearch，thegainsofsocialproductivityandtheimprovementoflifestylegreatlyHoweverduringtheprocessofacquisition，processing，trans

3、missionandrecording，imageswillinevitablysufferfromdistortionordegradationtosomeextentbecauseoftheimperfectionsofimagingsystems，processingmethods，transmissionmediaandrecordingequipments，whichbringsgreatinconvenienceinstud

4、yingandsolvingproblems，andunderstandingtheobjectiveworldConsequentlyitisofgreatsignificancetoevaluatethequalityofimagesobjectivelyeffectivelyandreasonablyAstheterminalforreceivingvisualinformationthehumanvisualsystemisth

5、emostreliableinstrumenttoassessthequalityofimagesItwillimprovetheperformanceofevaluatingalgorithmsdefinitelyifwetakethecharactersofthehumanvisualperceptionintoaccountSobasedontheperceptualfeaturesandinformationprocessing

6、mechanismofthehumanvisualsystem，somemethodshavebeengiveninthispaper：1)Combiningtheperceptualcharacteristicsofvisualsystem，includingmulti—channelandcontrastsensitivityanaturalcomputationbasedfullreferenceimagequalityevalu

7、ationmethodinwaveletdomainisproposed，whichusesthewaveletdecompositiontosimulatethemultichannelcharacteristicofhumanvisualsystemandutilizesnaturalcomputationtoobtainthescalefactor(iethecontrastsensitivityfactorofeachsubba

8、nd)Experimentalresultsshowthattheproposedmethodhasbetterconsistencywiththesubjectivemeanopinionscore(MOS)2)Accordingtothatthehumaneyesaremoresensitivetostructuralinformation，animprovedversionofstructuralsimilarity(SSIM)a

9、lgorithmispresented，whichdifferentlytreatstheimages’formingfactors，includingluminance，contrastandstructure，andcapturesthesensitivitycoefficientofthestructuralfactorbynaturalcomputationtohighlighttheimportanceofstructural

10、information3)Usingvisualattentionmechanismtoacquiretheattentiveregionsofanimageselectivelyatypeofattentiveregionsbasedpoolingperceptualerrorimagequalityevaluationmethodisdeveloped，whichdifferentlyhandlestheimageregionswi