Journal of Applied Optics, Volume. 43, Issue 4, 676(2022)
Real-time implementation of multi-source image fusion algorithm
Figures & Tables(7)
Fig. 1. Diagram of parallel system architecture of fusion algorithm
Fig. 3. Effect diagram of fusion algorithm of parallel implementation on FPGA
Table 1. Objective evaluation results of proposed fusion method in different scenarios
View tableView in ArticleTable 1. Objective evaluation results of proposed fusion method in different scenarios
图像标号 PSNR SSIM LS差值 图3 20.5841 0.776452 140.77 图4 （a）22.0694 0.803689 113.25 图4 （b）20.7219 0.761142 155.07 图4 （c）23.2726 0.859784 99.21
Table 2. Comparison of implementation time of Laplacian fusion algorithm on different platforms
View tableView in ArticleTable 2. Comparison of implementation time of Laplacian fusion algorithm on different platforms
平台 主频 运算时间/ms 备注 Inter i7 1.7 GHz 152 多核APU TI TM320C6455 1 GHz 76 内存占用70% Nvidia Jetson TX2 1.2 GHz 25 显存占用90% 本文Xilinx Xc7k325t --/视频流时钟200 MHz 10.5 资源占用见 表3
Table 3. Resource occupation analysis of FPGA
View tableView in ArticleTable 3. Resource occupation analysis of FPGA
资源名称 总资源数 占用资源数 资源占用率/% BRAM 445 123.5 27.75 Slices Flip Flops 407600 24854 6.10 LUT 203800 21129 10.37 LUTRAM 64000 730 1.14
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Xiying HUANG, Jie WANG, Jiaoying WANG, Li YAN, Yang LU, Liangfu LI. Real-time implementation of multi-source image fusion algorithm[J]. Journal of Applied Optics, 2022, 43(4): 676
Paper Information
Category: OE INFORMATION ACQUISITION AND PROCESSING
Received: May. 7, 2022
Accepted: --
Published Online: Aug. 8, 2022
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