Infrared and Laser Engineering, Volume. 50, Issue 3, 20200252(2021)

Infrared image clarifying and FPGA implementation based on dark channel prior

Na Li... Jiaxian Deng, Yani Cui and Baodan Chen |Show fewer author(s)
Author Affiliations
  • School of Information and Communication Engineering, Hainan University, Haikou 570228, China
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    Figures & Tables(11)
    Comparison diagram of dark channel
    Transmission before estimation
    Transmission after estimation
    Comparison image after estimate 透射率修正后图像数据比较
    Timing diagram of Camera Link control signal
    Data caching diagram
    Comparison image1
    Comparison image2
    • Table 1. [in Chinese]

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      Table 1. [in Chinese]

      ParameterValue
      Minimum period/ns5.307
      Maximum frequency/MHz188.43
    • Table 2. [in Chinese]

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      Table 2. [in Chinese]

      Logic utilizationRef.[14] Ref.[15] Proposed hardware algorithm
      Slice LUTs307 of 28800 (1%)6119 of 39600 (15%)2678 of 63400 (4%)
      Block RAMs16 of 60 (26%)40%9 of 135 (6%)
      I/O cells82 of 480 (17%)*24 of 285 (8%)
      Slice registers493 of 28800 (1%)*2257 of 126800 (1%)
      Time period/ms0.90570.30.1185
    • Table 3. [in Chinese]

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      Table 3. [in Chinese]

      Image 1Image 2
      ePSNRePSNR
      Original infrared image022.7104022.6584
      He algorithm with block effect2.103120.87844.799620.3565
      Wan algorithm0.041222.54180.131822.4613
      He algorithm after soft mapping2.044921.01643.865620.4240
      Proposed software algorithm2.620322.39093.366422.6171
      Proposed hardware algorithm1.127222.11992.059222.4859
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    Na Li, Jiaxian Deng, Yani Cui, Baodan Chen. Infrared image clarifying and FPGA implementation based on dark channel prior[J]. Infrared and Laser Engineering, 2021, 50(3): 20200252

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    Paper Information

    Category: Infrared technology and application

    Received: Nov. 9, 2020

    Accepted: --

    Published Online: Jul. 15, 2021

    The Author Email:

    DOI:10.3788/IRLA20200252

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