Shuangshuang Zheng, Wenxue Wei, Cong Xu. Low Illumination Image Enhancement Algorithm Combining Total Variation and Gamma[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1210022

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- Laser & Optoelectronics Progress
- Vol. 60, Issue 12, 1210022 (2023)

Fig. 1. Flow chart of proposed algorithm

Fig. 2. Comparison of reflection images constrained by different TV models. (a) Original drawing; (b) original TV model; (c) proposed TV(r=3); (d) proposed TV (r=0.3)

Fig. 3. Comparison of illumination correction images.(a) Original drawing; (b) μ=0.5; (c) adaptive μ value
![Comparison of Retinex decomposition. (a) Original images; (b) model of reference [15]; (c) STAR; (d) WVM; (e) SSR; (f) proposed model](/Images/icon/loading.gif)
Fig. 4. Comparison of Retinex decomposition. (a) Original images; (b) model of reference [15]; (c) STAR; (d) WVM; (e) SSR; (f) proposed model
![Contrast of enhanced images. (a) Original images; (b) algorithm of reference [11]; (c) algorithm of reference [15]; (d) STAR; (e) WVM; (f) MSRCR; (g) algorithm of reference [13]; (h) proposed algorithm](/Images/icon/loading.gif)
Fig. 5. Contrast of enhanced images. (a) Original images; (b) algorithm of reference [11]; (c) algorithm of reference [15]; (d) STAR; (e) WVM; (f) MSRCR; (g) algorithm of reference [13]; (h) proposed algorithm

Fig. 6. Comparison of safety helmet and human body detection between low illumination image and enhanced image. (a) Original image detection and recognition results; (b) enhanced image detection and recognition results
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Table 1. Quantitative comparison of NIQE
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Table 2. Quantitative comparison of SSIM
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Table 3. Quantitative comparison of PSNR

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