基于jpeg2000的小波變換和ebcot的分析和硬件設(shè)計(jì)

1、基于JPEG2000的小波變換和EBCOT的分析與硬件設(shè)計(jì)AbstractWiththedevelopmentofIntermultimediatechnologytheinfmationbecomesmemethelimitedstagebwidthisbecomethebottleneck.Soitisnecessaryftheeffectiveprocessingcompressionofinfmation.Thelatestst

2、illimagecompressionstardJPEG2000adoptsDiscreteWaveletTransfmEmbeddedBlockCodingwithOptimizedTruncation(EBCOT)achievesmuchbettercodingefficiencyimagequalitythanthetraditionalmethods.Withitsexcellentperfmanceprominentfeatu

3、resJPEG2000willnodoubtbecomethemainstreamintheimagecompressionfieldinthefuture.ButitishardfhardwareimplementationofJPEG2000.HighattentionispaidtodesignVLSIarchitecturefDWTEBCOTimplementationwithrealtimelowareaenergydissi

4、pation.FirstlythisthesisanalyzestheprocessofJPEG2000encoder.ThenthisdissertationdeeplyaccessedthehardwareimplementationtechniquesfDWTbitplanecodingbinaryarithmeticcodecusedinJPEG2000.AsftheVLSIimplementationofdiscretewav

5、elettransfm(DWT)therowbasedmethodparallelarchitectureisadoptedfthe2DDWTwhichmakesboththetransfmspeedtheefficiencyincrease.WithcombiningthedataextensionprocedureintotheDWTcethememyrequirementmemyaccessofDWTcanbereduced.th

6、earchitecturecanaccomplicemultilevelDWTfthewholeimageusingonly6rowsofinnersingleptRAM.Asfthehardwareimplementationofbitplanecodingabitplanecoderbasedoncodingpassparallelprocessingispresented.Thethreescanproceduresoftheal

7、githmfbitplanecodinginJPEG2000isincpatedintoonescanprocedure.Theacceleratisefficientareaisnotlarge.AsftheVLSIimplementationofbinaryarithmeticcodecthebinaryarithmeticcodecbasedonthreepipelinearchitectureispresentedwhichim

8、provestheencodingefficiencywithencodingonedataeveryclock.AtlastthethreeproposedarchitectureisimplementedinVerilogHDL.Theresultofsimulationsynthesisoftheproposedarchitectureprovesthedesign.Keywds:Keywds:DWTDWT；LiftingLift

9、ingSchemeScheme；EBCOTEBCOT；JPEG2000JPEG2000碩士學(xué)位論文插圖索引圖2.1JPEG2000編碼器結(jié)構(gòu)框圖8圖2.2圖像分片8圖2.3Mallat塔式小波分解9圖2.4提升小波算法10圖2.5不同壓縮比下的壓縮圖像13圖3.1數(shù)據(jù)的分裂15圖3.2小波提升算法正反變換示意圖16圖3.3二維快速小波變換17圖3.4woman圖像的多級(jí)小波分解18圖3.5一維53小波提升構(gòu)架19圖3.6一維97小波提升

10、構(gòu)架19圖3.7woman圖像進(jìn)行97小波變換后和重構(gòu)的圖像20圖3.8wbarb圖像進(jìn)行97小波變換后和重構(gòu)的圖像20圖3.9lenna圖像進(jìn)行97小波變換后和重構(gòu)的圖像20圖3.10基于行的二維97小波變換結(jié)構(gòu)圖22圖3.11二維97小波變換流程23圖3.12行緩沖的運(yùn)算結(jié)構(gòu)24圖3.13原始數(shù)據(jù)的周期性對(duì)稱延拓24圖3.14以偶數(shù)開端并以奇數(shù)結(jié)尾的97小波濾波過程25圖3.15以奇數(shù)開端并以偶數(shù)結(jié)尾的97小波濾波過程25圖3.16