Fast Single Image De-Hazing Using Characteristics of RGB Channel of Foggy Image

Dubok PARK  David K. HAN  Changwon JEON  Hanseok KO  

IEICE TRANSACTIONS on Information and Systems   Vol.E96-D   No.8   pp.1793-1799
Publication Date: 2013/08/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E96.D.1793
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Image Processing and Video Processing
air-light,  de-hazing,  depth estimation,  image restoration,  

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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.