Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Chinese Journal of Liquid Crystals and Displays, Volume. 39, Issue 9, 1274(2024)

Sand-dust image enhancement based on Lab color space

Hongxia NIU1,2 and Hongzhu ZHANG2,3、*
Author Affiliations
  • 1School of Automation and Electrical Engineering，Lanzhou Jiaotong University，Lanzhou 730070，China
  • 2Key Laboratory of Plateau Traffic Information Engineering and Control of Gansu Province，Lanzhou Jiaotong University，Lanzhou 730070，China
  • 3Key Lab of Opt-Electronic Technology and Intelligent Control of Ministry of Education，Lanzhou Jiaotong University，Lanzhou 730070，China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (9)
    Equations (0)
    References (22)
    Tools
    Paper Information
    Topics
    Figures & Tables(9)
    Histogram comparison of each color space

    Fig. 1. Histogram comparison of each color space

    Download full size
    View in Article
    Results of color correction

    Fig. 2. Results of color correction

    Download full size
    View in Article
    K of various images

    Fig. 3. K of various images

    Download full size
    View in Article
    Comparison of the images after defogging

    Fig. 4. Comparison of the images after defogging

    Download full size
    View in Article
    Comparison of subjective effect

    Fig. 5. Comparison of subjective effect

    Download full size
    View in Article

    • Table 1. Average K values before and after color correction

      View table
      View in Article

      Table 1. Average K values before and after color correction

      去除偏色前的平均K值去除偏色后的平均K值
      11.697 50.666 8

    • Table 2. Comparison of average evaluation before and after fog removal

      View table
      View in Article

      Table 2. Comparison of average evaluation before and after fog removal

      评价指标对比度信息熵平均梯度
      沙尘图像47.458 67.121 44.058 9
      去雾后图像53.610 27.442 56.192 0

    • Table 3. Comparison of processing time of each algorithm

      View table
      View in Article

      Table 3. Comparison of processing time of each algorithm

      图像大小FBEHRDCPNGTSCBCBCS本文算法
      520×3474.405 03.501 51.253 30.409 10.286 60.257 6
      940×6277.935 09.387 51.184 40.581 20.489 40.482 7
      1 144×76310.712 613.432 91.327 20.726 30.786 80.709 2
      1 600×1 20019.958 229.368 32.151 81.012 70.820 31.272 8
      3 500×3 024103.276 4154.305 62.339 64.901 12.847 74.778 7

    • Table 4. Comparison of quantitative metrics of algorithms

      View table
      View in Article

      Table 4. Comparison of quantitative metrics of algorithms

      评价指标FBEHRDCPNGTSCBCBCS本文算法
      NIQE3.090 34.154 12.771 13.272 83.478 92.988 3
      PIQE39.204 239.661 835.957 237.041 340.203 834.834 2
      BRISQUE31.291 528.244 222.562 620.068 626.758 920.066 3
      ENIQA0.241 80.168 60.124 10.143 30.161 60.112 1
    Tools

    Get Citation

    Copy Citation Text

    Hongxia NIU, Hongzhu ZHANG. Sand-dust image enhancement based on Lab color space[J]. Chinese Journal of Liquid Crystals and Displays, 2024, 39(9): 1274

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category:

    Received: Nov. 6, 2023

    Accepted: --

    Published Online: Nov. 13, 2024

    The Author Email: Hongzhu ZHANG (543789795@qq.com)

    DOI:10.37188/CJLCD.2023-0351

    Topics