• Journal of Applied Optics
  • Vol. 43, Issue 4, 676 (2022)
Xiying HUANG, Jie WANG, Jiaoying WANG, Li YAN..., Yang LU and Liangfu LI|Show fewer author(s)
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.5768/JAO202243.0402002 Cite this Article
    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 Copy Citation Text show less

    Abstract

    Aiming at the real-time requirements of image fusion in the infrared and visible light, a real-time implementation method to solve the current high-definition or ultrahigh-definition multi-source Laplacian pyramid image fusion was proposed. Based on the video data stream, a parallel processing pipeline architecture of Laplacian pyramid system was designed. The time delay and optimization ideas between the pipelines were analyzed. All the delay time differences were compensated through on-chip cache to achieve the equal length of pipeline and guarantee the integrity of data processing in the whole algorithm. This method could realize 5-level Laplacian pyramid fusion of dual-channel 1080×1920@60 Hz video images on XILINX 7 series field programmable gate array (FPGA) and above. The experimental results show that this real-time method has better fusion effect, with only 10.535 ms of one-frame image fusion and the processing delay is less than 1 ms.
    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
    Download Citation