An Improved Defogging Algorithm Based on Dark Color Theory Combined with Self-Adaptive Threshold Mechanism

An Improved Defogging Algorithm Based on Dark Color Theory Combined with Self-Adaptive Threshold Mechanism

Defogging algorithms based on dark channel prior have color shift in light color areas because of inaccurate estimation of transmittance. To resolve this problem, a novel improved image clearness method is proposed. Based on the dark channel prior, the essential causes of color shift are analyzed, w...

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Main Authors: Aixing Li, Zhou Fang, Bo Mi
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2018/3975373
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spelling doaj-e995d876ec3a49f9b8436194b15397fd2020-11-25T00:59:32ZengHindawi LimitedJournal of Control Science and Engineering1687-52491687-52572018-01-01201810.1155/2018/39753733975373An Improved Defogging Algorithm Based on Dark Color Theory Combined with Self-Adaptive Threshold MechanismAixing Li0Zhou Fang1Bo Mi2College of Information Science and Engineering, Chongqing Jiaotong University, Chongqing 400074, ChinaCollege of Information Science and Engineering, Chaohu University, Chaohu 23800, ChinaCollege of Information Science and Engineering, Chongqing Jiaotong University, Chongqing 400074, ChinaDefogging algorithms based on dark channel prior have color shift in light color areas because of inaccurate estimation of transmittance. To resolve this problem, a novel improved image clearness method is proposed. Based on the dark channel prior, the essential causes of color shift are analyzed, with two important factors summarized. Then, transmission map is calculated by using 3⁎3 fixed region, and the restoration module based on self-adaptive threshold mechanism for transmission map is provided. Some experiments are carried out to determine parameters in restoration module to correct the transmission map. According to the corrected transmission map, a transmission restoration algorithm is constructed based on the self-adaptive threshold mechanism to improve the performance of the fog-free image. The experiment results show that this method can resolve the color shift in light color areas effectively and guarantee the overall framework of defogging method based on dark color theory unchanged.http://dx.doi.org/10.1155/2018/3975373
collection DOAJ
language English
format Article
sources DOAJ
author Aixing Li
Zhou Fang
Bo Mi
spellingShingle Aixing Li
Zhou Fang
Bo Mi
An Improved Defogging Algorithm Based on Dark Color Theory Combined with Self-Adaptive Threshold Mechanism
Journal of Control Science and Engineering
author_facet Aixing Li
Zhou Fang
Bo Mi
author_sort Aixing Li
title An Improved Defogging Algorithm Based on Dark Color Theory Combined with Self-Adaptive Threshold Mechanism
title_short An Improved Defogging Algorithm Based on Dark Color Theory Combined with Self-Adaptive Threshold Mechanism
title_full An Improved Defogging Algorithm Based on Dark Color Theory Combined with Self-Adaptive Threshold Mechanism
title_fullStr An Improved Defogging Algorithm Based on Dark Color Theory Combined with Self-Adaptive Threshold Mechanism
title_full_unstemmed An Improved Defogging Algorithm Based on Dark Color Theory Combined with Self-Adaptive Threshold Mechanism
title_sort improved defogging algorithm based on dark color theory combined with self-adaptive threshold mechanism
publisher Hindawi Limited
series Journal of Control Science and Engineering
issn 1687-5249
1687-5257
publishDate 2018-01-01
description Defogging algorithms based on dark channel prior have color shift in light color areas because of inaccurate estimation of transmittance. To resolve this problem, a novel improved image clearness method is proposed. Based on the dark channel prior, the essential causes of color shift are analyzed, with two important factors summarized. Then, transmission map is calculated by using 3⁎3 fixed region, and the restoration module based on self-adaptive threshold mechanism for transmission map is provided. Some experiments are carried out to determine parameters in restoration module to correct the transmission map. According to the corrected transmission map, a transmission restoration algorithm is constructed based on the self-adaptive threshold mechanism to improve the performance of the fog-free image. The experiment results show that this method can resolve the color shift in light color areas effectively and guarantee the overall framework of defogging method based on dark color theory unchanged.
url http://dx.doi.org/10.1155/2018/3975373
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AT zhoufang improveddefoggingalgorithmbasedondarkcolortheorycombinedwithselfadaptivethresholdmechanism
AT bomi improveddefoggingalgorithmbasedondarkcolortheorycombinedwithselfadaptivethresholdmechanism
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