Rapid and parallel image compression system with ultra-low delay for unmanned aerial vehicles

LI Qi-hu1; 2; WEN Yun-feng1; JIA Rui-cai1; XIAO Song2

doi:10.3788/OPE.20132111.2914

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Rapid and parallel image compression system with ultra-low delay for unmanned aerial vehicles

更新时间：2020-08-12

- Rapid and parallel image compression system with ultra-low delay for unmanned aerial vehicles
- Optics and Precision Engineering Vol. 21, Issue 11, Pages: 2914-2921(2013)
- 作者机构：
  
  1. 中国电子科技集团公司第五十四研究所，河北石家庄 050081
  2. 西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710071
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20132111.2914
  CLC： TN919.8;V279
- Received：17 April 2013，
  
  Revised：03 July 2013，
  
  Published Online：22 November 2013，
  
  Published：15 November 2013
- 稿件说明：
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李其虎, 文运丰, 贾瑞才, 肖嵩. 无人飞行器超低延时高速并行图像压缩系统[J]. 光学精密工程, 2013,21(11): 2914-2921

LI Ji-Hu, WEN Yun-Feng, GU Rui-Cai, XIAO Song. Rapid and parallel image compression system with ultra-low delay for unmanned aerial vehicles[J]. Editorial Office of Optics and Precision Engineering, 2013,21(11): 2914-2921
李其虎, 文运丰, 贾瑞才, 肖嵩. 无人飞行器超低延时高速并行图像压缩系统[J]. 光学精密工程, 2013,21(11): 2914-2921 DOI： 10.3788/OPE.20132111.2914.

LI Ji-Hu, WEN Yun-Feng, GU Rui-Cai, XIAO Song. Rapid and parallel image compression system with ultra-low delay for unmanned aerial vehicles[J]. Editorial Office of Optics and Precision Engineering, 2013,21(11): 2914-2921 DOI： 10.3788/OPE.20132111.2914.

摘要

针对无人飞行器测控系统对图像压缩技术在超低延时与高速编码方面的特殊需求，研究并设计了一种全硬件并行图像压缩系统

该系统采用基于小波分析理论联合零游程编码与指数哥伦布编码技术完成对信源数据的压缩。利用小波分析去除像素相关性，引入最优量化方式，采用零游程编码结合指数哥伦布编码去除像素概率冗余。算法在现场可编程门阵列（FPGA）中设计了一种并行处理模式，使得图像采集、变换与各个小波子代系数编码近似同步进行。实验结果表明，该压缩系统在型号为XILINX-VIRTEX-5-XC5VSX50T器件中可以同时满足4路分辨率为2 048 pixel2 048 pixel12 bit高清图像压缩，单路数据吞吐量达280 Mpixel/s；针对1 024 pixel768 piexl格式图像编解码传输，延时低于100 ms。

Abstract

A hardware parallel image compression system was designed according to the special requirements of unmanned aerial vehicles (UAVs) for image compression in low delay and high speed coding. A compression algorithm based on the wavelet analysis theory combined with zero-run-length coding index Columbus was designed for source coding techniques. In the algorithm

the wavelet analysis was applied to remove the redundancy of pixels

and the optimal quantization was introduced to remove the redundancy of pixel probability by zero-run-length encoding and exponential Columbus. The proposed algorithm was realized in a Field Programming Gate Array( PFGA) by a designed mode of the parallel processing

which makes the image sample

transformation and the coding of the each wavelet offspring coefficient executed in synchronization. Experimental results show that this compression system can satisfy four pieces of high resolution images with a resolution of 2 048 pixel2 048 pixel12 bit

and the capacity of data throughput achieves 280 Mpixel/s. Moreover

image codec propagation delay is less than 100 ms for the format of 1 024 pixel768 pixel.

关键词

Keywords

references

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