JOURNAL ARTICLE

A fast image defogging method

Kang MeiXiaoqin LiuZhendong WangChao Mu

Year: 2020 Journal:   Sixth Symposium on Novel Optoelectronic Detection Technology and Applications Pages: 254-254

Abstract

The image captured in foggy weather is often degraded, traditional defogging algorithms take a long time.Concerning this issue, in this paper, we propose a fast defogging method based on the quickly edge-preserving filtering algorithm, and apply it into image defogging.First, the atmospheric veil is estimated by taking use of the properties that the quickly edge-preserving filtering is available to preserve edge and smooth noise, so as we can solve the atmospheric transmittance distribution. Then, estimating the atmospheric light by quadtree search algorithm .Finally, the haze-free image is recovered by transforming the atmospheric scattering model. The experimental results show that the algorithm can effectively restore the fog image,and has a small time complexity, which is beneficial to the realization of real-time defogging.

Keywords:
Quadtree Computer science Image (mathematics) Enhanced Data Rates for GSM Evolution Diffuse sky radiation Atmospheric model Computer vision Haze Noise (video) Artificial intelligence Image restoration Algorithm Image processing Scattering Optics Geography Meteorology Physics

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Topics

Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology

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