A Fast Single-Image Dehazing Method Based on a Physical Model and Gray Projection | Zendy

Wencheng Wang | Zendy; Faliang Chang | Zendy; Tao Ji | Zendy; Xiaojin Wu | Zendy

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A Fast Single-Image Dehazing Method Based on a Physical Model and Gray Projection

Author(s) -

Wencheng Wang,

Faliang Chang,

Tao Ji,

Xiaojin Wu

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2794340

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Due to the scattering of atmospheric particles, images captured under hazy conditions suffer from contrast attenuation and color distortion, which severely affect the performance of machine vision systems. Various types of methods have been developed to improve the clarity of images. However, these methods are typically challenging to apply in real-time systems. We present a fast, single-image dehazing method based on the atmospheric scattering theory and dark channel prior theory. The transmission map is approximately estimated using a fast average filter, the subsection mechanism is designed to avoid the high brightness of the sky region in the recovered image, the region projection method is adopted to obtain the atmospheric light, and image color compensation is implemented using the Weber-Fechner law. Our experimental results show that this algorithm can restore images to a clear and natural state and ensure the balance of quality and the speed of image restoration. Therefore, the algorithm can be used in real-time systems.

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