Qiang Gao, Liaolin Hu, Xin Chen. Image Dehazing Method Based on Dark Channel Compensation and Improvement of Atmospheric Light Value[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061011

Search by keywords or author
- Laser & Optoelectronics Progress
- Vol. 57, Issue 6, 061011 (2020)

Fig. 1. Comparison of dark channel. (a) Haze image; (b) original dark channel; (c) compensated dark channel; (d) original result; (e) compensated result

Fig. 2. Quadtree partition region. (a) Partitioned area; (b) neglected area

Fig. 3. Proposed segmentation method. (a) Partitioned area; (b) combined image
![Atmospheric light value selection. (a) Haze image; (b) method of Ref. [4]; (c) proposed method; (d) result of Ref. [4]; (e) result of proposed method](/Images/icon/loading.gif)
Fig. 4. Atmospheric light value selection. (a) Haze image; (b) method of Ref. [4]; (c) proposed method; (d) result of Ref. [4]; (e) result of proposed method

Fig. 5. Flow of the proposed method
![Four sets of image processing results. (a) Haze images; (b) method of Ref. [6]; (c) method of Ref. [7]; (d) method of Ref. [8]; (e) proposed method](/Images/icon/loading.gif)
Fig. 6. Four sets of image processing results. (a) Haze images; (b) method of Ref. [6]; (c) method of Ref. [7]; (d) method of Ref. [8]; (e) proposed method
|
Table 1. Average gradient comparison of four image sets
|
Table 2. Contrast comparison of four image sets
|
Table 3. Information entropy comparison of four image sets
|
Table 4. Running time of different algorithms

Set citation alerts for the article
Please enter your email address