CCSDS Space Image Compression Algorithm And FPGA Implementation

With the development of remote sensing (RS) technique in recent years, the RS images have growing applications in many different fields. Therefore, it's necessary to compress them efficiently because of the rapid increasing of RS data. Because the RS images have the characteristics of large amount of information, low space redundancy and special applications, some conventional compression methods sometimes could not get better results. Therefore, the Consultative Committee for Space Data System put forward the CCSDS image compression algorithm, which is a special for RS application. The algorithm has lower complexities and good parallel architecture, and it has been widely used in deep-space probes and near-earth observatories. Therefore, this dissertation researches in several aspects as follows.Firstly, the fundamentals of CCSDS are thoroughly researched, and the coding characteristics are systematically analysed. After the characteristics of the comman image compression methods are summarized, the advantages of CCSDS are analyzed. Furthermore, from application point of view, the coding efficiency is compared and analysed variously. These studied provide necessary theory basis for the application.Secondly, the Xilinx FPGA of Virtex-II architecture and Verilog Hardware Description Language are introduced. Then the flow of FPGA design is described, and the intergrated developing environment ISE and simulation software ModelSim are described step by step.Then, after the total design is given, the FPGA implementation methods and performance of CCSDS encoder are presented. The Bit Plane Encode module is described in particular and also the key of optimization.Finally, the source code is downloaded into FPGA. Then the programme is tested by several test-image in different grades of compression, which is tested successfully. The results show that: CCSDS image compression algorithm base on FPGA cost less hardware resources, and can operate under higher frequency. The design achieved a well utilization of resources and speed of state and the expectant design aim is fulfilled.