Laser & Optoelectronics Progress, Volume. 56, Issue 20, 201003(2019)
Image Dehazing Algorithm Based on Full Convolution Regression Network
Figures & Tables(19)
Fig. 2. Comparison of two algorithms to estimate the pixel points of atmospheric light values. (a) He algorithm; (b) proposed algorithm
Fig. 3. Diagrams of CLAHE cutting allocation. (a) Cropping diagram; (b) distribution diagram
Fig. 4. Comparison before and after CLAHE processing. (a) Original foggy image; (b) dehazing image Based on fully convolutional regression network; (c) image after CLAHE processing
Fig. 5. Comparison of transmittance of different algorithms. (a) Original foggy image; (b) He algorithm[4]; (c) Meng algorithm[5]; (d) Berman algorithm[6]; (e) Cai algorithm[11]; (f) proposed algorithm
Fig. 6. Comparison of dehazing results of synthetic fog image Cloth. (a) Original clear image; (b) foggy image; (c) Fattal algorithm; (d) He algorithm; (e) Meng algorithm; (f) Berman algorithm; (g) Cai algorithm; (h) proposed algorithm
Fig. 7. Comparison of defogging results of synthetic fog image Midd. (a) Original clear image;(b) foggy image; (c) Fattal algorithm; (d) He algorithm; (e) Meng algorithm; (f) Berman algorithm; (g) Cai algorithm; (h) proposed algorithm
Fig. 8. Comparison of defogging results of synthetic fog image Monopoly. (a) Original clear image; (b) foggy image; (c) Fattal algorithm; (d) He algorithm; (e) Meng algorithm; (f) Berman algorithm; (g) Cai algorithm; (h) proposed algorithm
Fig. 9. Comparison of dehazing results of fog image (wheat field). (a) Original foggy image; (b) Fattal algorithm; (c) He algorithm; (d) Meng algorithm; (e) Berman algorithm; (f) Cai algorithm; (g) proposed algorithm
Fig. 10. Comparison of dehazing results of fog images (village). (a) Original foggy image; (b) Fattal algorithm; (c) He algorithm; (d) Meng algorithm; (e) Berman algorithm; (f) Cai algorithm; (g) proposed algorithm
Fig. 11. Comparison of defogging results of fog images (train). (a) Original foggy image; (b) Fattal algorithm;(c) He algorithm; (d) Meng algorithm; (e) Berman algorithm; (f) Cai algorithm; (g) proposed algorithm
Fig. 12. Comparison of average gradient and information entropy for different algorithms. (a) Average gradient; (b) information entropy
Fig. 13. Comparison of average gradient and information entropy of different algorithms for 100 real foggy images
Table 1. Evaluation indicators obtained by different dehazing algorithms for image Cloth
View tableTable 1. Evaluation indicators obtained by different dehazing algorithms for image Cloth
Algorithm Evaluation indicator Average gradient Entropy SSIM PSNR FSIM SRSIM UQI Fattal 2.5516 3.857 0.24 7.1292 0.6817 0.7978 0,7285 He 7.7796 7.45 0.6873 16.4184 0.742 0.8435 0.9715 Meng 9.1826 7.2259 0.6161 15.425 0.8576 0.9085 0.978 Berman 8.5153 7.7348 0.8901 20.2225 0.9089 0.9296 0.9758 Cai 9.0145 7.3103 0.5525 11.6161 0.7423 0.8111 0.6335 Proposed 8.3687 7.8438 0.6778 16.5031 0.7506 0.8762 0.9726
Table 2. Evaluation indicators obtained by different dehazing algorithms for image Midd
View tableTable 2. Evaluation indicators obtained by different dehazing algorithms for image Midd
Algorithm Evaluation indicator Average gradient Entropy SSIM PSNR FSIM SRSIM UQI Fattal 1.7776 2.6969 0.1236 8.0984 0.7473 0.7946 0.772 He 4.908 7.531 0.6935 17.9008 0.759 0.8416 0.9709 Meng 5.8656 6.5501 0.4435 15.3477 0.8586 0.9201 0.9517 Berman 4.9005 7.4684 0.7839 17.2871 0.9111 0.9293 0.9246 Cai 5.1499 7.2368 0.6708 15.4346 0.8087 0.8302 0.8237 Proposed 4.8762 7.3132 0.7359 16.2309 0.7578 0.8387 0.9332
Table 3. Evaluation indicators obtained by different dehazing algorithms for image Monopoly
View tableTable 3. Evaluation indicators obtained by different dehazing algorithms for image Monopoly
Algorithm Evaluation indicator Average gradient Entropy SSIM PSNR FSIM SRSIM UQI Fattal 1.657 2.9267 0.2107 9.3993 0.7784 0.8844 0.8639 He 6.908 7.38 0.6735 17.5173 0.6817 0.7969 0.988 Meng 8.2415 6.8548 0.647 17.5667 0.8393 0.8937 0.9842 Berman 7.2754 7.4109 0.341 20.302 0.8673 0.9168 0.9848 Cai 8.6848 7.5398 0.5224 11.6791 0.7392 0.7892 0.7994 Ours 6.7025 7.4202 0.6883 17.75 0.6701 0.8014 0.9861
Table 4. Comparison of information entropy of different network models
View tableTable 4. Comparison of information entropy of different network models
Image Entropy Compared model 1 Compared model 2 Ours Wheat field 6.67 7.01 7.48 Village 6.90 7.19 7.67 Train 6.34 6.89 7.29
Tools
Get Citation
Copy Citation Text
Zehao Zhang, Weixing Zhou. Image Dehazing Algorithm Based on Full Convolution Regression Network[J]. Laser & Optoelectronics Progress, 2019, 56(20): 201003
Paper Information
Category: Image Processing
Received: Apr. 9, 2019
Accepted: Apr. 25, 2019
Published Online: Oct. 22, 2019
The Author Email: Weixing Zhou (940196535@qq.com)
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20