电子设计工程
電子設計工程
전자설계공정
ELECTRONIC DESIGN ENGINEERING
2011年
15期
170-175
,共6页
韩亚娟%刘学斌%胡炳樑%陈小来%樊先云
韓亞娟%劉學斌%鬍炳樑%陳小來%樊先雲
한아연%류학빈%호병량%진소래%번선운
光谱成像%图像压缩%ADV212%JPEG2000%DMD哈达玛成像光谱仪
光譜成像%圖像壓縮%ADV212%JPEG2000%DMD哈達瑪成像光譜儀
광보성상%도상압축%ADV212%JPEG2000%DMD합체마성상광보의
spectral imaging%the image compression%ADV212%JPEG2000%DMD-based Hadamard transform imaging spectrometer
为了解决现有的存储介质和传输带宽与成像光谱仪(imaging spectrometer)异常庞大的光谱数据量之间的矛盾,本论文选用FPGA搭载JPEG2000压缩专用图像压缩芯片ADV212的方式;利用Xilinx的嵌入式开发套件所提供的可编程嵌入式开发平台和Xilinx MicroBlaze软核处理器设计了硬件系统来实现光谱数据压缩。系统设计使用专用图像压缩芯片,所以不必花费大量时间对JPEG2000算法进行优化,处理数据的速度较高,还原图像的质量较好而且实现起来简单,技术成熟可靠稳定。并在基于DMD的哈达玛成像光谱仪上对所设计系统进行了验证。结果表明该系统达到实时压缩光谱数据的要求。
為瞭解決現有的存儲介質和傳輸帶寬與成像光譜儀(imaging spectrometer)異常龐大的光譜數據量之間的矛盾,本論文選用FPGA搭載JPEG2000壓縮專用圖像壓縮芯片ADV212的方式;利用Xilinx的嵌入式開髮套件所提供的可編程嵌入式開髮平檯和Xilinx MicroBlaze軟覈處理器設計瞭硬件繫統來實現光譜數據壓縮。繫統設計使用專用圖像壓縮芯片,所以不必花費大量時間對JPEG2000算法進行優化,處理數據的速度較高,還原圖像的質量較好而且實現起來簡單,技術成熟可靠穩定。併在基于DMD的哈達瑪成像光譜儀上對所設計繫統進行瞭驗證。結果錶明該繫統達到實時壓縮光譜數據的要求。
위료해결현유적존저개질화전수대관여성상광보의(imaging spectrometer)이상방대적광보수거량지간적모순,본논문선용FPGA탑재JPEG2000압축전용도상압축심편ADV212적방식;이용Xilinx적감입식개발투건소제공적가편정감입식개발평태화Xilinx MicroBlaze연핵처리기설계료경건계통래실현광보수거압축。계통설계사용전용도상압축심편,소이불필화비대량시간대JPEG2000산법진행우화,처리수거적속도교고,환원도상적질량교호이차실현기래간단,기술성숙가고은정。병재기우DMD적합체마성상광보의상대소설계계통진행료험증。결과표명해계통체도실시압축광보수거적요구。
In order to solve the conflict between existing storage media,transmission bandwidth and the unusual large amount of data of imaging spectrometer,this paper uses FPGA equipped with dedicated image compression chip ADV212,whose compression standard is JPEG2000.The system achieves the spectral data compression through using embedded development platform of embedded development kit provided by Xilinx and hardware system designed based on Xilinx MicroBlaze soft core processor.In this way,the author has not to spend a lot of time optimizing the algorithm.The system implements simply and its technology is mature,reliable and stable because of using a dedicated image compression chip.The hardware compression system was then verified on DMD-based Hadamard transform imaging spectrometer,the results show that the design reaches the requirements of real-time spectral data compression.