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Visibility Restoration: A Systematic Review and Meta-Analysis
| Content Provider | MDPI |
|---|---|
| Author | Ngo, Dat Lee, Seungmin Ngo, Tri Lee, Gi-Dong Kang, Bongsoon |
| Copyright Year | 2021 |
| Description | Image acquisition is a complex process that is affected by a wide variety of internal and environmental factors. Hence, visibility restoration is crucial for many high-level applications in photography and computer vision. This paper provides a systematic review and meta-analysis of visibility restoration algorithms with a focus on those that are pertinent to poor weather conditions. This paper starts with an introduction to optical image formation and then provides a comprehensive description of existing algorithms as well as a comparative evaluation. Subsequently, there is a thorough discussion on current difficulties that are worthy of a scientific effort. Moreover, this paper proposes a general framework for visibility restoration in hazy weather conditions while using haze-relevant features and maximum likelihood estimates. Finally, a discussion on the findings and future developments concludes this paper. |
| Starting Page | 2625 |
| e-ISSN | 14248220 |
| DOI | 10.3390/s21082625 |
| Journal | Sensors |
| Issue Number | 8 |
| Volume Number | 21 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-04-08 |
| Access Restriction | Open |
| Subject Keyword | Sensors Artificial Intelligence Systematic Review Meta-analysis Visibility Enhancement Haze Removal Image Dehazing Image Defogging |
| Content Type | Text |
| Resource Type | Article |
