JOURNAL ARTICLE

Fast single image defogging method based on physical model

Tong LiuWei SongChao DuHanshi WangLizhen LiuJingli Lu

Year: 2016 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 10033 Pages: 1003329-1003329   Publisher: SPIE

Abstract

In the haze and other weather conditions, the scattering of atmospheric particles leads to a serious degradation of the captured images. In this paper, we present a new fast defogging method based on physical model. The algorithm is based on the atmospheric scattering model to simplify the atmospheric scattering model by using the white balance. A fast bilateral filtering method is used to estimate the atmospheric veil, and then recover the visibility. The time complexity of the algorithm is linear function of the number of image pixels, which has a very fast execution speed. Experimental results show that the proposed algorithm can effectively restore the contrast and color of the scene, so that the image can be improved significantly.

Keywords:
Haze Visibility Diffuse sky radiation Pixel Computer science Atmospheric model Scattering Image (mathematics) Computer vision Artificial intelligence Contrast (vision) Gamma correction Algorithm Image restoration Optics Image processing Physics Meteorology

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Topics

Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Computer Graphics and Visualization Techniques
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design

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