Fog-degraded image restoration using characteristics of RGB channel in single monocular image

Dubok Park, Hanseok Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Images captured under foggy conditions often have poor contrast and color. This is primarily due to 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 via representative performance measurements.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Consumer Electronics, ICCE 2012
Pages139-140
Number of pages2
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Consumer Electronics, ICCE 2012 - Las Vegas, NV, United States
Duration: 2012 Jan 132012 Jan 16

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X

Other

Other2012 IEEE International Conference on Consumer Electronics, ICCE 2012
CountryUnited States
CityLas Vegas, NV
Period12/1/1312/1/16

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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