An Improved Haze Removal Method Based on Horizon Detection

doi:10.3969/j.issn.10062475.2014.09.015

Abstract

Abstract:

Fog and haze are the important factors that degrade the quality of image and video, which bring great inconvenience to outdoor video tasks. Considering the existence

of horizon in vision video, an improved defogging method based on horizon detection is proposed. It detects the horizon with the theory of dark channel and then segments the sky

region from the whole image to get the light part of the haze imaging model. Parameters are adjusted by introducing faulttolerance to improve image quality. At the same time,

we use imageguided filtering instead of soft matting which consumes both memory and time in transmission correction. As shown in the experiment, this method improves the

vulnerable behavior of origin algorithm in the presence of white scene or objects, the image quality debased by neglecting the obvious halo of diurnal light in distant view

image, and the processing time.

Key words: vision video, horizon detection, faulttolerance, guided filtering, haze removal

CLC Number:

中图分类号： TP391

LI Lu1,2, LAN Shiyong1,2， ZHANG Jianwei1,2, LI Kun1,2. An Improved Haze Removal Method Based on Horizon Detection[J]. Computer and Modernization, doi: 10.3969/j.issn.10062475.2014.09.015.

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