静止灰度图像分形压缩编码算法的改进的研究优化

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1、AbstractFractalimagecompressing(FIC)takesadvantageofself-similaritywhichexistsintheimagescommonly.Itusestheself-similarityindifferentscalesofimagetoremovethegeometryredundancyandachieveaveryhighcompressionratio.However,themaindrawbacksofFICaretheexpensivecomputationalcostintheencodingprocess,theb

2、lock-effectindecodingimage,etc.Thisauthorstudiesmainlyhowtoimproveimagequalityandruntimeintheencodingprocess.Theprojectissupportedbythementorprojectfunds.Themainresearchworkcanbeorganizedinthefollowingaspects:1.Basedonintroducingtheimageencodingandfractaltheory,thispaperanalyzedtheexistingFICalgo

3、rithmsystematically.ThentheemphasiswasprogrammingforthebasicFICalgorithm(Jacquinalgorithm).Ittestedtheencodingtime,imagecompressionratioandthepeakvaluesignal-to-noiseratioaftercompressedtheselectionofdifferentimageandobjectivelyanalyzedtheadvantagesanddisadvantagesofthebasicFICalgorithm.Forresolv

4、ingtheproblemauthormainlysumsupsomecommonstrategy.2.Basedonthesemi-normalgorithm,thispaperpresentedanimprovedalgorithmonimagesegmentationstrategy,themodeofsamplingcontractionforthecodebookandsearchforthenearestfartherblock.Inthisway,itcanreducethesearchingrangeofthematchedblockandimprovethematche

5、daccuracy,andinordertocutwaybackonthecodingtimeandimprovedecodingimagequality.Experimentalresultsshowthatthenewalgorithmcanmaintainthecodingtimewhilereducingboxeffectandprovingthequalityoftheimage.3.Basedonresearchingtheimagewaveletcoefficientscorrelation,afastfractalimagecodingalgorithmispropose

6、d.Itcombinedthegoodpointsfromliftingwavelettransformandfractalencoding.Firstly,thisalgorithmhasathree-leveldecompositiontotheimagetakingadvantagingofliftingwavelet,andthen,processesdifferentsub-bandimagerespectivelybyusingtherelativitycharacteristicsbetweenwaveletcoefficient:inconnectionwiththelo

7、w-frequencyingredientLL3afterdecomposing,adoptsanadvancedfractalencodingmethod;andalsoappliesafractalencodingmethodofstationarycode-poolfor3-leveland2-levelsub-bandexceptLL3;whileit'savailabletohaveaevaluatetoworkitout