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    Journals >Laser & Optoelectronics Progress >Volume 58 >Issue 8 >Page 0810001 > Article
    • Laser & Optoelectronics Progress
    • Vol. 58, Issue 8, 0810001 (2021)
    Image Enhancement Based on Dual-Channel Prior and Illumination Map Guided Filtering
    Xinyu Zhao* and Fuzhen Huang
    Author Affiliations
  • College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
    • show less
    DOI: 10.3788/LOP202158.0810001 Cite this Article Set citation alerts
    Xinyu Zhao, Fuzhen Huang. Image Enhancement Based on Dual-Channel Prior and Illumination Map Guided Filtering[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0810001 Copy Citation Text show less
    Flow chart of proposed low-illumination enhancement algorithm
    Fig. 1. Flow chart of proposed low-illumination enhancement algorithm
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    Enhanced images of atmospheric light value via different methods. (a) Original image; (b) method in Ref. [11]; (c) proposed method
    Fig. 2. Enhanced images of atmospheric light value via different methods. (a) Original image; (b) method in Ref. [11]; (c) proposed method
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    Transmittance images under different α and γ. (a) α=1, γ=0; (b) α=0.75, γ=0.25; (c) α=0.25,γ=0.75; (d) α=0,γ=1
    Fig. 3. Transmittance images under different α and γ. (a) α=1, γ=0; (b) α=0.75, γ=0.25; (c) α=0.25,γ=0.75; (d) α=0,γ=1
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    Edge-extraction images for different bootstrap images. (a) Original image; (b) gray-level inversion image; (c) dark-channel image; (d) illumination images
    Fig. 4. Edge-extraction images for different bootstrap images. (a) Original image; (b) gray-level inversion image; (c) dark-channel image; (d) illumination images
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    Enhancement results after improving transmittance by different methods. (a) Original image; (b) dark-channel; (c) bright-channel; (d) transmittance fusion image; (e) method in Ref. [19]; (f) proposed method
    Fig. 5. Enhancement results after improving transmittance by different methods. (a) Original image; (b) dark-channel; (c) bright-channel; (d) transmittance fusion image; (e) method in Ref. [19]; (f) proposed method
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    Enhancement results of low-illumination images with large sky area and obvious change in depth of field for different methods. (a1)--(a4) Original images; (b1)--(b4) method in Ref. [11]; (c1)--(c4) method in Ref. [22]; (d1)--(d4) method in Ref. [23]; (e1)--(e4) proposed method
    Fig. 6. Enhancement results of low-illumination images with large sky area and obvious change in depth of field for different methods. (a1)--(a4) Original images; (b1)--(b4) method in Ref. [11]; (c1)--(c4) method in Ref. [22]; (d1)--(d4) method in Ref. [23]; (e1)--(e4) proposed method
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    Enhancement results of low-illumination images with light source and inhomogeneous light rays for different methods. (a1)--(a3) Original images; (b1)--(b3) method in Ref. [11]; (c1)--(c3) method in Ref. [22]; (d1)--(d3) method in Ref. [23]; (e1)--(e3) proposed method
    Fig. 7. Enhancement results of low-illumination images with light source and inhomogeneous light rays for different methods. (a1)--(a3) Original images; (b1)--(b3) method in Ref. [11]; (c1)--(c3) method in Ref. [22]; (d1)--(d3) method in Ref. [23]; (e1)--(e3) proposed method
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    Bootstrap image categorySimilarity
    Gray-level inversion image0.1949
    Dark-channel image0.3940
    Illumination image0.5566
    Table 1. Similarity between different bootstrap images and original images
    Original imageMethod in Ref. [11]Method in Ref. [22]Method in Ref. [23]Proposed method
    Fig.6(a1)7.25167.65657.49337.8762
    Fig.6(a2)6.77247.04527.15037.4747
    Fig.6(a3)7.54977.51417.15267.7957
    Fig.6(a4)6.85587.50907.15267.5188
    Fig.7(a1)6.36636.95887.07637.1562
    Fig.7(a2)5.52626.23526.24316.7724
    Fig.7(a3)6.03626.79646.76257.0236
    Table 2. Information entropies of images
    Original imageMethod in Ref. [11]Method in Ref. [22]Method in Ref. [23]Proposed method
    Fig.6(a1)8.960711.88519.736110.0400
    Fig.6(a2)6.87446.44975.06097.9357
    Fig.6(a3)4.23775.32103.99816.2678
    Fig.6(a4)2.21272.18712.89163.0929
    Fig.7(a1)5.26356.86956.23027.0025
    Fig.7(a2)3.21635.62894.32565.8953
    Fig.7(a3)7.01567.86357.23118.2362
    Table 3. Average gradients of images
    Original imageMethod in Ref. [11]Method in Ref. [22]Method in Ref. [23]Proposed method
    Fig.6(a1)0.52030.59350.49880.6233
    Fig.6(a2)0.40320.52110.42100.5834
    Fig.6(a3)0.59860.65250.55140.6958
    Fig.6(a4)0.52430.69820.62010.7033
    Fig.7(a1)0.57220.58080.41690.6110
    Fig.7(a2)0.55960.51170.46590.5863
    Fig.7(a3)0.42030.52610.30340.5627
    Table 4. Structural similarities of images
    Abstract
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    Xinyu Zhao, Fuzhen Huang. Image Enhancement Based on Dual-Channel Prior and Illumination Map Guided Filtering[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0810001
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