An Improved DCP-Based Image Defogging Algorithm Combined with Adaptive Fusion Strategy

Dark channel prior (DCP) has been widely used in single image defogging because of its simple implementation and satisfactory performance. This paper addresses the shortcomings of the DCP-based defogging algorithm and proposes an optimized method by using an adaptive fusion mechanism. This proposed...

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Autores principales:	Zhou Fang, Qilin Wu, Darong Huang, Dashuai Guan
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/eac5db14842d416da7cbb9b730034d76
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spelling	oai:doaj.org-article:eac5db14842d416da7cbb9b730034d762021-11-29T00:56:41ZAn Improved DCP-Based Image Defogging Algorithm Combined with Adaptive Fusion Strategy1563-514710.1155/2021/1436255https://doaj.org/article/eac5db14842d416da7cbb9b730034d762021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1436255https://doaj.org/toc/1563-5147Dark channel prior (DCP) has been widely used in single image defogging because of its simple implementation and satisfactory performance. This paper addresses the shortcomings of the DCP-based defogging algorithm and proposes an optimized method by using an adaptive fusion mechanism. This proposed method makes full use of the smoothing and “squeezing” characteristics of the Logistic Function to obtain more reasonable dark channels avoiding further refining the transmission map. In addition, a maximum filtering on dark channels is taken to improve the accuracy of dark channels around the object boundaries and the overall brightness of the defogged clear images. Meanwhile, the location information and brightness information of fog image are weighed to obtain more accurate atmosphere light. Quantitative and qualitative comparisons show that the proposed method outperforms state-of-the-art image defogging algorithms.Zhou FangQilin WuDarong HuangDashuai GuanHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Zhou Fang Qilin Wu Darong Huang Dashuai Guan An Improved DCP-Based Image Defogging Algorithm Combined with Adaptive Fusion Strategy
description	Dark channel prior (DCP) has been widely used in single image defogging because of its simple implementation and satisfactory performance. This paper addresses the shortcomings of the DCP-based defogging algorithm and proposes an optimized method by using an adaptive fusion mechanism. This proposed method makes full use of the smoothing and “squeezing” characteristics of the Logistic Function to obtain more reasonable dark channels avoiding further refining the transmission map. In addition, a maximum filtering on dark channels is taken to improve the accuracy of dark channels around the object boundaries and the overall brightness of the defogged clear images. Meanwhile, the location information and brightness information of fog image are weighed to obtain more accurate atmosphere light. Quantitative and qualitative comparisons show that the proposed method outperforms state-of-the-art image defogging algorithms.
format	article
author	Zhou Fang Qilin Wu Darong Huang Dashuai Guan
author_facet	Zhou Fang Qilin Wu Darong Huang Dashuai Guan
author_sort	Zhou Fang
title	An Improved DCP-Based Image Defogging Algorithm Combined with Adaptive Fusion Strategy
title_short	An Improved DCP-Based Image Defogging Algorithm Combined with Adaptive Fusion Strategy
title_full	An Improved DCP-Based Image Defogging Algorithm Combined with Adaptive Fusion Strategy
title_fullStr	An Improved DCP-Based Image Defogging Algorithm Combined with Adaptive Fusion Strategy
title_full_unstemmed	An Improved DCP-Based Image Defogging Algorithm Combined with Adaptive Fusion Strategy
title_sort	improved dcp-based image defogging algorithm combined with adaptive fusion strategy
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/eac5db14842d416da7cbb9b730034d76
work_keys_str_mv	AT zhoufang animproveddcpbasedimagedefoggingalgorithmcombinedwithadaptivefusionstrategy AT qilinwu animproveddcpbasedimagedefoggingalgorithmcombinedwithadaptivefusionstrategy AT daronghuang animproveddcpbasedimagedefoggingalgorithmcombinedwithadaptivefusionstrategy AT dashuaiguan animproveddcpbasedimagedefoggingalgorithmcombinedwithadaptivefusionstrategy AT zhoufang improveddcpbasedimagedefoggingalgorithmcombinedwithadaptivefusionstrategy AT qilinwu improveddcpbasedimagedefoggingalgorithmcombinedwithadaptivefusionstrategy AT daronghuang improveddcpbasedimagedefoggingalgorithmcombinedwithadaptivefusionstrategy AT dashuaiguan improveddcpbasedimagedefoggingalgorithmcombinedwithadaptivefusionstrategy
_version_	1718407743302270976

An Improved DCP-Based Image Defogging Algorithm Combined with Adaptive Fusion Strategy

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