Laser & Optoelectronics Progress, Volume. 56, Issue 11, 111005(2019)
Single-Image Defogging Algorithm Based on Deep Learning
Figures & Tables(14)
Fig. 4. Defogging results of foggy image Teddy by different algorithms. (a) Foggy image; (b) original clear image; (c) DCP algorithm; (d) BCCR algorithm; (e) SVDSR algorithm; (f) CAP algorithm; (g) MSCNN algorithm; (h) proposed algorithm
Fig. 5. Defogging results of foggy image Dolls by different algorithms. (a) Foggy image; (b) original clear image; (c) DCP algorithm; (d) BCCR algorithm; (e) SVDSR algorithm; (f) CAP algorithm; (g) MSCNN algorithm; (h) proposed algorithm
Fig. 6. Defogging results of foggy image Cloth by different algorithms. (a) Foggy image; (b) original clear image; (c) DCP algorithm; (d) BCCR algorithm; (e) SVDSR algorithm; (f) CAP algorithm; (g) MSCNN algorithm; (h) proposed algorithm
Fig. 7. Comparison of defogging results of natural foggy image House. (a) Foggy image; (b) DCP algorithm; (c) BCCR algorithm; (d) SVDSR algorithm; (e) CAP algorithm; (f) MSCNN algorithm; (g) proposed algorithm
Fig. 8. Comparison of defogging results of natural foggy image Pumpkin. (a) Foggy image; (b) DCP algorithm; (c) BCCR algorithm; (d) SVDSR algorithm; (e) CAP algorithm; (f) MSCNN algorithm; (g) proposed algorithm
Fig. 9. Comparison of defogging results of natural foggy image Girls. (a) Foggy image; (b) DCP algorithm; (c) BCCR algorithm; (d) SVDSR algorithm; (e) CAP algorithm; (f) MSCNN algorithm; (g) proposed algorithm
Fig. 10. Comparison results of different algorithms. (a) Average gradient; (b) information entropy
Table 1. Multi-scale convolution parameters
View tableTable 1. Multi-scale convolution parameters
Filter size Pad Stride 1×1×16 0 1 3×3×16 5×5×16 7×7×16 1 2 3 1 1 1
Table 2. Evaluation indicators of defogging results of image Teddy by different algorithms
View tableTable 2. Evaluation indicators of defogging results of image Teddy by different algorithms
Indicator DCP BCCR SVDSR CAP MSCNN Proposed RMSE ↓ UQI ↑ Cross entropy ↑ Tone reduction↑ Average gradient ↑ Entropy ↑ PSNR /dB ↑ 0.0273 0.6146 0.5763 0.7563 11.0044 17.0265 15.8246 0.0133 0.5678 1.1316 0.2432 8.8069 13.3513 12.5962 0.0629 0.6245 0.3643 0.7501 9.8318 14.6280 15.2510 0.0259 0.6179 1.6366 0.7908 7.1499 16.7995 19.8702 0.0258 0.6035 1.2088 0.6966 7.9799 16.3855 20.6022 0.0246 0.6327 1.2529 0.8441 11.1956 17.8831 23.4425 SSIM ↑ 0.7782 0.6097 0.7572 0.8769 0.8797 0.9524
Table 3. Evaluation indicators of defogging results of image Dolls by different algorithms
View tableTable 3. Evaluation indicators of defogging results of image Dolls by different algorithms
Indicator DCP BCCR SVDSR CAP MSCNN Proposed RMSE ↓ UQI ↑ Cross entropy ↑ Tone reduction↑ Average gradient ↑ Entropy ↑ PSNR /dB↑ 0.0320 0.5947 0.2300 0.9304 6.2746 14.9801 11.4845 0.0227 0.6440 2.5409 0.3455 6.9560 13.3218 10.6521 0.0756 0.6724 0.2536 0.7694 7.4696 13.7417 19.4985 0.0313 0.6159 1.3798 0.5236 3.9494 14.5518 24.6558 0.0297 0.5955 0.6806 0.5577 4.3671 14.3132 22.3259 0.0299 0.6781 2.5820 0.9843 7.5562 16.7908 24.7741 SSIM ↑ 0.8412 0.6339 0.8601 0.8769 0.8583 0.9245
Table 4. Evaluation indicators of defogging results of image Cloth by different algorithms
View tableTable 4. Evaluation indicators of defogging results of image Cloth by different algorithms
Indicator DCP BCCR SVDSR CAP MSCNN Proposed RMSE ↓ UQI ↑ Cross entropy ↑ Tone reduction↑ Average gradient ↑ Entropy ↑ PSNR /dB↑ 0.0375 0.8378 1.0192 0.7459 16.5629 13.3149 24.2385 0.0287 0.9220 1.4342 0.6243 22.5152 15.1098 16.2698 0.0966 0.8838 1.0265 0.6323 7.3269 12.6598 15.2502 0.0231 0.5231 0.2260 0.8045 5.6146 15.5405 23.4958 0.0241 0.6895 0.4852 0.6556 5.2312 14.2319 21.2102 0.0225 0.9867 0.0421 0.9650 22.7680 16.6995 27.3441 SSIM ↑ 0.8567 0.7357 0.7279 0.9462 0.8975 0.9690
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Jiantang Zhao. Single-Image Defogging Algorithm Based on Deep Learning[J]. Laser & Optoelectronics Progress, 2019, 56(11): 111005
Paper Information
Category: Image Processing
Received: Dec. 6, 2018
Accepted: Dec. 25, 2018
Published Online: Jun. 13, 2019
The Author Email: Jiantang Zhao (zhaojiantanglaoshi@126.com)
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