Laser & Optoelectronics Progress, Volume. 58, Issue 4, 0410001(2021)
Low-Illuminance Image Processing Based on Brightness Channel Detail Enhancement
Figures & Tables(11)
Fig. 2. Contrast before and after details enhancement. (a) Before processing; (b)after processing
Fig. 3. Comparison of the enhancement effects of various algorithms in scene1.(a) Original image; (b) MSR; (c) ALTM; (d) MF; (e) Ref. [14] algorithm; (f) proposed algorithm
Fig. 4. Comparison of the enhancement effects of various algorithms in scene2. (a) Original image; (b)MSR; (c) ALTM; (d) MF; (e) Ref. [14] algorithm; (f) proposed algorithm
Fig. 5. Comparison of the enhancement effects of various algorithms in scene3. (a) Original image; (b) MSR; (c) ALTM; (d) MF; (e) Ref. [14] algorithm; (f) proposed algorithm
Fig. 6. Comparison of the enhancement effects of various algorithms in scene4. (a) Original image; (b) MSR; (c) ALTM; (d) MF; (e) Ref. [14] algorithm; (f) proposed algorithm
Fig. 7. Comparison of the enhancement effects of various algorithms in scene5. (a) Original image; (b) MSR; (c) ALTM; (d) MF; (e) Ref. [14] algorithm; (f) proposed algorithm
Table 1. Selection of parameters for comparison algorithms
View tableTable 1. Selection of parameters for comparison algorithms
Algorithm Parameter MSR σ1=15,σ2=80,σ3=250 ALTM σ=0.001 MF σ=0.025,μ=0.5,α=2,φ=250° Ref. [14] ε=0.01, λr=0.001,λs=0.01,λb=0.15
Table 2. Quantitative evaluation table of LOE
View tableTable 2. Quantitative evaluation table of LOE
Figure MSR ALTM MF Ref. [14] algorithm Proposed algorithm Fig. 3 328.6 215.1 433.7 636.7 231.5 Fig. 4 352.8 833.9 760.7 687.8 145.4 Fig. 5 255.8 488.0 609.5 566.6 176.1 Fig. 6 420.3 652.2 454.0 701.7 283.9 Fig. 7 381.1 202.3 675.0 902.9 324.1 Average 347.7 478.3 586.6 699.1 232.2
Table 3. Quantitative evaluation table of entropy
View tableTable 3. Quantitative evaluation table of entropy
Figure Original image MSR ALTM MF Ref. [14] algorithm Proposed algorithm Fig. 3 6.3698 6.5552 7.3236 7.5411 7.3504 7.3883 Fig. 4 5.7130 6.1958 6.2335 5.9350 6.2706 6.6912 Fig. 5 5.9424 6.8171 6.8503 6.5728 6.6456 7.1247 Fig. 6 5.8426 6.8431 6.8884 6.8987 6.8589 6.9993 Fig. 7 6.7449 7.4020 7.4344 7.5643 7.3847 7.6231
Table 4. Quantitative evaluation table of gradient energy
View tableTable 4. Quantitative evaluation table of gradient energy
Figure Original image MSR ALTM MF Ref. [14] algorithm Proposed algorithm Fig. 3 0.0123 0.0166 0.0153 0.0196 0.0162 0.0165 Fig. 4 0.0148 0.0380 0.0351 0.0275 0.0248 0.0415 Fig. 5 0.0168 0.0506 0.0401 0.0364 0.0313 0.0453 Fig. 6 0.0226 0.0369 0.0358 0.0389 0.0338 0.0448 Fig. 7 0.0637 0.0604 0.0709 0.0934 0.0828 0.0841
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Yichun Jiang, Weida Zhan, Depeng Zhu. Low-Illuminance Image Processing Based on Brightness Channel Detail Enhancement[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410001
Paper Information
Category: Image Processing
Received: Jun. 12, 2020
Accepted: Aug. 3, 2020
Published Online: Feb. 4, 2021
The Author Email: Zhan Weida (zhanweida@cust.edu.cn)
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