Fast Single Image De-Hazing Using Characteristics of RGB Channel of Foggy Image
- Authors
- Park, Dubok; Han, David K.; Jeon, Changwon; Ko, Hanseok
- Issue Date
- 8월-2013
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
- Keywords
- air-light; de-hazing; depth estimation; image restoration
- Citation
- IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v.E96D, no.8, pp.1793 - 1799
- Indexed
- SCOPUS
- Journal Title
- IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
- Volume
- E96D
- Number
- 8
- Start Page
- 1793
- End Page
- 1799
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/102535
- DOI
- 10.1587/transinf.E96.D.1793
- ISSN
- 1745-1361
- Abstract
- Images captured under foggy conditions often exhibit poor contrast and color. This is primarily due to the air-light which degrades image quality exponentially with fog depth between the scene and the camera. In this paper, we restore fog-degraded images by first estimating depth using the physical model characterizing the RGB channels in a single monocular image. The fog effects are then removed by subtracting the estimated irradiance, which is empirically related to the scene depth information obtained, from the total irradiance received by the sensor. Effective restoration of color and contrast of images taken under foggy conditions are demonstrated. In the experiments, we validate the effectiveness of our method compared with conventional method.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > School of Electrical Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.