Low Illumination Image Enhancement Algorithm Based on Light Remapping

Table 1. Average information entropy
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Table 1. Average information entropy
Dataset Without bilateral filter With bilateral filter
MEF 5.3049 6.9870
LIME 5.3084 6.8904
VV 6.7219 7.0800
DICM 6.1006 6.7381
Average 5.8589 6.9013

Table 2. Average gradient
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Table 2. Average gradient
Dataset Without bilateral filter With bilateral filter
MEF 10.6121 14.7098
LIME 14.0008 19.0866
VV 7.0439 10.1526
DICM 11.3468 15.6469
Average 10.7509 14.8989

Table 3. Average NIQE
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Table 3. Average NIQE
Dataset LIME Retinex-Net Zero-DCE LILR
MEF 3.5705 4.4073 3.2850 3.3173
LIME 4.0933 4.6012 3.7620 3.7232
VV 2.7772 2.6857 3.2153 2.5600
DICM 3.4596 4.4028 3.5666 3.7792
Average 3.4752 4.0243 3.4572 3.3449

Table 4. Average running time unit: s
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Table 4. Average running time unit: s
Dataset LIME Retinex-Net Zero-DCE LILR
MEF 0.5333 1.8674 1.8152 0.3526
LIME 1.3744 5.6632 5.1429 0.6151
VV 8.8293 39.5428 34.3723 3.4371
DICM 0.9417 3.7381 3.3426 0.2965
Average 2.9196 12.7028 11.1682 1.1753

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Hongbo Jia, Yunyu Shi, Xiang Liu, Jingwen Zhao. Low Illumination Image Enhancement Algorithm Based on Light Remapping[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2210014

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