摘要
本文提出了一种应用于以太网工业相机的无损压缩技术,其通过对工业相机的以太网GVSP报文的图像数据进行数据预测,减少数据之间的相关性;通过减小数据位宽来减小冗余数据量,从而减少网络传输所需要的带宽。最后,结合FPGA的硬件验证,给出了该无损压缩算法的性能比较结果。结果表明,该无损压缩算法压缩率可以达到45%~13%。
This paper presented a lossless compression technique for Ethernet industrial cameras, which reduced the correlation between data by predicting the image data of Ethernet GVSP messages of industrial cameras, and reducedthe amount of redundant data by compressing the data to determine the bit data width, thus reducing the bandwidthneeded for network transmission. Finally, the performance comparison results of the lossless compression algorithmwere given based on the hardware verification of FPGA. The results showed that the compression rate of the lossless compression algorithm could reach 45% to 13%.
引文
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