Journal article
Fast Single Image De-Hazing Using Characteristics of RGB Channel of Foggy Image
IEICE transactions on information and systems, v E96D(8), pp 1793-1799
2013
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.
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Details
- Title
- Fast Single Image De-Hazing Using Characteristics of RGB Channel of Foggy Image
- Creators
- Dubok Park - Korea UniversityDavid K. Han - Office of Naval ResearchChangwon Jeon - Korea UniversityHanseok Ko - Korea University
- Publication Details
- IEICE transactions on information and systems, v E96D(8), pp 1793-1799
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATION ENGINEERS
- Number of pages
- 7
- Grant note
- WR080951 / Seoul RBD Program; Seoul RBD program
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000323236700023
- Scopus ID
- 2-s2.0-84882597238
- Other Identifier
- 991021930835304721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Software Engineering