@article{ZHANG2023, 
author = {Lili ZHANG and Yuxuan LIU and Lei ZHANG and Jiannan CAI},
title = {FPGA design and implementation of real-time lossless compression system for satellite image},
year = {2023},
journal = {Experimental Technology and Management},
volume = {40},
number = {2},
pages = {57-62,68},
keywords = {lossless compression, algorithm-JPEG-LS, FPGA chip, forward prediction, full-pipeline construction},
url = {https://www.sciopen.com/article/10.16791/j.cnki.sjg.2023.02.009},
doi = {10.16791/j.cnki.sjg.2023.02.009},
abstract = {In order to achieve real-time lossless compression of spaceborne wide images, for the JPEG-LS algorithm of image compression, based on the forward prediction of the prediction module, the algorithm parameter update calculation structure is adjusted, a two-level forward prediction parameter strategy is adopted, and a full pipeline structure is realized without affecting the compression quality. In the coding module, the finite length coding method is adopted to prevent the coding result from generating too many consecutive zeros when the error value is large, leading to a sharp increase in the coding length and reducing the coding performance. Based on the xc7k325tffg900 field programmable gate array (FPGA) chip of Xilinx Company, under the normal coding mode, the problem that the feedback structure of the algorithm restricts the hardware pipeline implementation has been solved, which leads to low working frequency. The proposed structure can meet the requirements of real-time processing of satellite image data and enable the system to dynamically adjust the input image parameters according to different application environments. The maximum size of the algorithm in this paper is 6 144 × 6 144 wide images, the maximum working frequency can reach 220 MHz, and the maximum transmission bandwidth of the system input image data can reach 3.52 Gbps}
}