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Fig 1.

Structure of the LMPEC algorithm model.

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Fig 2.

Sub-network model structure in the LMPEC algorithm.

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Fig 3.

Network structure diagram of UNet++.

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Fig 4.

Schematic diagram of subpixel convolution.

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Fig 5.

PS-UNet++ model structure.

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Fig 6.

Sub-pixel convolution upsampling module.

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Fig 7.

Data set of nameplate exposure of electrical equipment.

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Fig 8.

Comparison of training results of data sets with different sizes.

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Table 1.

Training results of data sets with different sizes.

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Table 2.

Test results of different training methods.

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Table 3.

Ablation test results of the data set of electrical equipment nameplate exposure.

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Table 4.

Training and test results of different algorithms on uneven exposure data set of electrical equipment nameplate.

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Fig 9.

Comparison of correction results of different algorithms on the data set of electrical equipment nameplate exposure.

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Fig 10.

Comparison of details of different algorithms.

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Table 5.

Training test results of different algorithms on natural scene exposure dataset.

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