Laser & Optoelectronics Progress, Volume. 56, Issue 9, 091502(2019)
Hue Preserving Low Illumination Image Enhancement Based on Gene Expression Programming Optimization
Figures & Tables(8)
Fig. 4. Comparison of low illumination images processed by different algorithms. (a) Original images; (b) CLAHE algorithm; (c) HF algorithm; (d) MSR algorithm; (e) MSRCR algorithm; (f) proposed algorithm
Table 1. Objective evaluation results of enhanced images under different algorithms
View tableTable 1. Objective evaluation results of enhanced images under different algorithms
Test image Evaluation index Enhanced algorithm CLAHE HF MSR MSRCR Proposed PSNR 26.57 26.11 12.01 12.18 27.79 Corn SSIM 0.53 0.47 0.33 0.34 0.70 QILV 0.75 0.91 0.25 0.25 0.93 PSNR 20.82 23.48 12.47 12.71 24.44 Tomato SSIM 0.64 0.85 0.65 0.64 0.85 QILV 0.81 0.85 0.46 0.45 0.89 PSNR 26.44 26.87 11.39 11.78 28.27 Bamboo 1 SSIM 0.47 0.54 0.35 0.36 0.71 QILV 0.69 0.84 0.12 0.13 0.90 PSNR 22.16 25.35 11.50 11.83 27.03 Bamboo 2 SSIM 0.32 0.48 0.35 0.36 0.68 QILV 0.12 0.76 0.14 0.14 0.88
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Xinyu Jia, Tingting Li, Zhaohui Jiang, Haiqiu Liu, Yuan Rao. Hue Preserving Low Illumination Image Enhancement Based on Gene Expression Programming Optimization[J]. Laser & Optoelectronics Progress, 2019, 56(9): 091502
Paper Information
Category: Machine Vision
Received: Oct. 16, 2018
Accepted: Dec. 4, 2018
Published Online: Jul. 5, 2019
The Author Email: Zhaohui Jiang (jiangzh@ahau.edu.cn)
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