JPEG2000的并行结构EBCOT编码研究及FPGA实现的中期报告摘要本文介绍了一种用于JPEG2000压缩算法的并行结构EBCOT编码的研究和FPGA实现的中期报告。EBCOT编码是JPEG2000压缩算法中的一部分，用于将离散小波变换(DWT)系数转换为可压缩的比特流。本研究旨在通过并行化EBCOT编码来提高JPEG2000压缩算法的性能，同时利用FPGA进行硬件实现以提高计算速度。本文首先介绍了EBCOT编码的原理和算法流程，接着详细阐述了我们设计的并行EBCOT编码结构。该结构包括多个处理单元(PU)和一个控制单元(CU)，PU负责进行EBCOT编码的计算，CU则控制PU之间的数据传输和协调计算流程。为了充分利用并行结构，我们在PU之间采用流水线和流控制技术，尽可能地减少计算延迟和减少数据传输时间。最后，本文描述了我们利用FPGA对该并行结构进行硬件实现的过程，并展示了实验结果。实验结果表明，本研究的并行结构EBCOT编码比串行EBCOT编码速度提高了近十倍，并且其压缩效果与串行EBCOT编码相当。通过FPGA实现，我们成功地将该并行结构EBCOT编码加速了10倍。关键词：JPEG2000、EBCOT编码、并行计算、FPGA实现AbstractThispaperpresentsamid-termreportontheresearchandFPGAimplementationofaparallelstructureEBCOTcodingforJPEG2000compressionalgorithm.EBCOTcodingispartoftheJPEG2000compressionalgorithm,whichconvertsthediscretewavelettransform(DWT)coefficientsintocompressiblebitstreams.TheaimofthisresearchistoimprovetheperformanceoftheJPEG2000compressionalgorithmbyparallelizingtheEBCOTcodingandusingFPGAforhardwareimplementationtospeedupthecalculation.ThispaperfirstintroducestheprinciplesandalgorithmicprocessofEBCOTcoding,andthenelaboratestheparallelEBCOTcodingstructurewedesigned.Thestructureincludesmultipleprocessingunits(PU)andacontrolunit(CU).ThePUisresponsibleforcomputingtheEBCOTcoding,whiletheCUcontrolsdatatransmissionbetweenPUsandcoordinatesthecalculationprocess.Tofullyutilizetheparallelstructure,weadoptpipelineandflowcontroltechnologiesbetweenPUstominimizecalculationlatencyandreducedatatransmissiontimeasmuchaspossible.Finally,thispaperdescribestheprocessofhardwareimplementationoftheparallelEBCOTcodingwithFPGAandshowstheexperimentalresults.TheexperimentalresultsshowthattheparallelEBCOTcodingdesignedinthisresearchisnearlytentimesfasterthantheserialEBCOTcoding,andthecompressioneffectiscomparablewiththatoftheserialEBCOTcoding.WithFPGAimplementation,wesuccessfullyacceleratedtheparallelEBCOTcodingtenfold.Keywords:JPEG2000,EBCOTcoding,parallelcomputation,FPGAimplementation