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Lossless Compression System Of Large Plane Array Infrared Detection Data

Posted on:2017-04-21Degree:MasterType:Thesis
Country:ChinaCandidate:X YangFull Text:PDF
GTID:2308330503464317Subject:Circuits and Systems
Abstract/Summary:PDF Full Text Request
Users have an increasing demand for high quality of remote sensing images with the rapid development of space technology, so the resolution of satellite images has been continuously improved. Massive high-resolution satellite images caused tremendous press to the storage and transmission system onboard and directly affected the real-time processing of the detectors. To solve this problem, domestic and foreign researchers actively study satellite data compression technology. Under the premise of image quality, detection images are controllably compressed to meet the storage and transmission requirements onboard. Depending on whether the reconstructed image is distorted, the image compression is divided into loss and lossless compression. In the subject of the space infrared small target detection, the complete original images are required in order to ensure the effectiveness of target detection. Therefore, the researches of data lossless compression onboard have important significance for the development of certain space applications.The subject comes from the State 863 Project. According to the project application requirements, a low-power, high-performance and real –time lossless compression system which can realize more than 3 times lossless compression ratio and Gbps-level data processing capacity should be established. Firstly, this article takes an in-depth study on the common lossless compression method and the correlation of the continuous infrared image sequences. On this basis, the compression scheme based on linear prediction and JPEG2000 lossless compression algorithm has been proposed. Then, this article uses the “FPGA+ ASIC” architecture to design the hardware system implementation and complete the schematic and PCB design. Finally, the results are verified after implementing the system function by the system programming and debugging. The results show that the system can achieve 3.0142 times compression ratio using the infrared target image sequences detected by a satellite and 1.6Gbps data processing speed,which meet all the application requirements well.
Keywords/Search Tags:Lossless Compression, Correlation, Linear Prediction, JPEG2000, FPGA, ASIC
PDF Full Text Request
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