Robust Single-Image Haze Removal Using Optimal Transmission Map and Adaptive Atmospheric Light
Haze removal is an ill-posed problem that has attracted much scientific interest due to its various practical applications. Existing methods are usually founded upon various priors; consequently, they demonstrate poor performance in circumstances in which the priors do not hold. By examining hazy an...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-07-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/12/14/2233 |
| _version_ | 1797562707490111488 |
|---|---|
| author | Dat Ngo Seungmin Lee Bongsoon Kang |
| author_facet | Dat Ngo Seungmin Lee Bongsoon Kang |
| author_sort | Dat Ngo |
| collection | DOAJ |
| description | Haze removal is an ill-posed problem that has attracted much scientific interest due to its various practical applications. Existing methods are usually founded upon various priors; consequently, they demonstrate poor performance in circumstances in which the priors do not hold. By examining hazy and haze-free images, we determined that haze density is highly correlated with image features such as contrast energy, entropy, and sharpness. Then, we proposed an iterative algorithm to accurately estimate the extinction coefficient of the transmission medium via direct optimization of the objective function taking into account all of the features. Furthermore, to address the heterogeneity of the lightness, we devised adaptive atmospheric light to replace the homogeneous light generally used in haze removal. A comparative evaluation against other state-of-the-art approaches demonstrated the superiority of the proposed method. The source code and data sets used in this paper are made publicly available to facilitate further research. |
| first_indexed | 2024-03-10T18:31:43Z |
| format | Article |
| id | doaj.art-9300595b22f042b6b6dcf7e393f78cc2 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T18:31:43Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-9300595b22f042b6b6dcf7e393f78cc22023-11-20T06:32:31ZengMDPI AGRemote Sensing2072-42922020-07-011214223310.3390/rs12142233Robust Single-Image Haze Removal Using Optimal Transmission Map and Adaptive Atmospheric LightDat Ngo0Seungmin Lee1Bongsoon Kang2Department of Electronics Engineering, Dong-A University, Busan 49315, KoreaDepartment of Electronics Engineering, Dong-A University, Busan 49315, KoreaDepartment of Electronics Engineering, Dong-A University, Busan 49315, KoreaHaze removal is an ill-posed problem that has attracted much scientific interest due to its various practical applications. Existing methods are usually founded upon various priors; consequently, they demonstrate poor performance in circumstances in which the priors do not hold. By examining hazy and haze-free images, we determined that haze density is highly correlated with image features such as contrast energy, entropy, and sharpness. Then, we proposed an iterative algorithm to accurately estimate the extinction coefficient of the transmission medium via direct optimization of the objective function taking into account all of the features. Furthermore, to address the heterogeneity of the lightness, we devised adaptive atmospheric light to replace the homogeneous light generally used in haze removal. A comparative evaluation against other state-of-the-art approaches demonstrated the superiority of the proposed method. The source code and data sets used in this paper are made publicly available to facilitate further research.https://www.mdpi.com/2072-4292/12/14/2233haze removaloptimal transmission mapadaptive atmospheric lighthaze-related featuresquad-decomposition |
| spellingShingle | Dat Ngo Seungmin Lee Bongsoon Kang Robust Single-Image Haze Removal Using Optimal Transmission Map and Adaptive Atmospheric Light Remote Sensing haze removal optimal transmission map adaptive atmospheric light haze-related features quad-decomposition |
| title | Robust Single-Image Haze Removal Using Optimal Transmission Map and Adaptive Atmospheric Light |
| title_full | Robust Single-Image Haze Removal Using Optimal Transmission Map and Adaptive Atmospheric Light |
| title_fullStr | Robust Single-Image Haze Removal Using Optimal Transmission Map and Adaptive Atmospheric Light |
| title_full_unstemmed | Robust Single-Image Haze Removal Using Optimal Transmission Map and Adaptive Atmospheric Light |
| title_short | Robust Single-Image Haze Removal Using Optimal Transmission Map and Adaptive Atmospheric Light |
| title_sort | robust single image haze removal using optimal transmission map and adaptive atmospheric light |
| topic | haze removal optimal transmission map adaptive atmospheric light haze-related features quad-decomposition |
| url | https://www.mdpi.com/2072-4292/12/14/2233 |
| work_keys_str_mv | AT datngo robustsingleimagehazeremovalusingoptimaltransmissionmapandadaptiveatmosphericlight AT seungminlee robustsingleimagehazeremovalusingoptimaltransmissionmapandadaptiveatmosphericlight AT bongsoonkang robustsingleimagehazeremovalusingoptimaltransmissionmapandadaptiveatmosphericlight |