Joint Dedusting and Enhancement of Top-Coal Caving Face via Single-Channel Retinex-Based Method with Frequency Domain Prior Information

Affected by the uneven concentration of coal dust and low illumination, most of the images captured in the top-coal caving face have low definition, high haze and serious noise. In order to improve the visual effect of underground images captured in the top-coal caving face, a novel single-channel R...

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Autores principales:	Chengcai Fu, Fengli Lu, Xiaoxiao Zhang, Guoying Zhang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	top-coal caving face image dedusting frequency domain prior information fast single-channel MSRCR Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/0c0d160fcd7a4491a37e04310fac4e5e
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id	oai:doaj.org-article:0c0d160fcd7a4491a37e04310fac4e5e
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spelling	oai:doaj.org-article:0c0d160fcd7a4491a37e04310fac4e5e2021-11-25T19:06:43ZJoint Dedusting and Enhancement of Top-Coal Caving Face via Single-Channel Retinex-Based Method with Frequency Domain Prior Information10.3390/sym131120972073-8994https://doaj.org/article/0c0d160fcd7a4491a37e04310fac4e5e2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-8994/13/11/2097https://doaj.org/toc/2073-8994Affected by the uneven concentration of coal dust and low illumination, most of the images captured in the top-coal caving face have low definition, high haze and serious noise. In order to improve the visual effect of underground images captured in the top-coal caving face, a novel single-channel Retinex dedusting algorithm with frequency domain prior information is proposed to solve the problem that Retinex defogging algorithm cannot effectively defog and denoise, simultaneously, while preserving image details. Our work is inspired by the simple and intuitive observation that the low frequency component of dust-free image will be amplified in the symmetrical spectrum after adding dusts. A single-channel multiscale Retinex algorithm with color restoration (MSRCR) in YIQ space is proposed to restore the foggy approximate component in wavelet domain. After that the multiscale convolution enhancement and fast non-local means (FNLM) filter are used to minimize noise of detail components while retaining sufficient details. Finally, a dust-free image is reconstructed to the spatial domain and the color is restored by white balance. By comparing with the state-of-the-art image dedusting and defogging algorithms, the experimental results have shown that the proposed algorithm has higher contrast and visibility in both subjective and objective analysis while retaining sufficient details.Chengcai FuFengli LuXiaoxiao ZhangGuoying ZhangMDPI AGarticletop-coal caving faceimage dedustingfrequency domain prior informationfast single-channel MSRCRMathematicsQA1-939ENSymmetry, Vol 13, Iss 2097, p 2097 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	top-coal caving face image dedusting frequency domain prior information fast single-channel MSRCR Mathematics QA1-939
spellingShingle	top-coal caving face image dedusting frequency domain prior information fast single-channel MSRCR Mathematics QA1-939 Chengcai Fu Fengli Lu Xiaoxiao Zhang Guoying Zhang Joint Dedusting and Enhancement of Top-Coal Caving Face via Single-Channel Retinex-Based Method with Frequency Domain Prior Information
description	Affected by the uneven concentration of coal dust and low illumination, most of the images captured in the top-coal caving face have low definition, high haze and serious noise. In order to improve the visual effect of underground images captured in the top-coal caving face, a novel single-channel Retinex dedusting algorithm with frequency domain prior information is proposed to solve the problem that Retinex defogging algorithm cannot effectively defog and denoise, simultaneously, while preserving image details. Our work is inspired by the simple and intuitive observation that the low frequency component of dust-free image will be amplified in the symmetrical spectrum after adding dusts. A single-channel multiscale Retinex algorithm with color restoration (MSRCR) in YIQ space is proposed to restore the foggy approximate component in wavelet domain. After that the multiscale convolution enhancement and fast non-local means (FNLM) filter are used to minimize noise of detail components while retaining sufficient details. Finally, a dust-free image is reconstructed to the spatial domain and the color is restored by white balance. By comparing with the state-of-the-art image dedusting and defogging algorithms, the experimental results have shown that the proposed algorithm has higher contrast and visibility in both subjective and objective analysis while retaining sufficient details.
format	article
author	Chengcai Fu Fengli Lu Xiaoxiao Zhang Guoying Zhang
author_facet	Chengcai Fu Fengli Lu Xiaoxiao Zhang Guoying Zhang
author_sort	Chengcai Fu
title	Joint Dedusting and Enhancement of Top-Coal Caving Face via Single-Channel Retinex-Based Method with Frequency Domain Prior Information
title_short	Joint Dedusting and Enhancement of Top-Coal Caving Face via Single-Channel Retinex-Based Method with Frequency Domain Prior Information
title_full	Joint Dedusting and Enhancement of Top-Coal Caving Face via Single-Channel Retinex-Based Method with Frequency Domain Prior Information
title_fullStr	Joint Dedusting and Enhancement of Top-Coal Caving Face via Single-Channel Retinex-Based Method with Frequency Domain Prior Information
title_full_unstemmed	Joint Dedusting and Enhancement of Top-Coal Caving Face via Single-Channel Retinex-Based Method with Frequency Domain Prior Information
title_sort	joint dedusting and enhancement of top-coal caving face via single-channel retinex-based method with frequency domain prior information
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/0c0d160fcd7a4491a37e04310fac4e5e
work_keys_str_mv	AT chengcaifu jointdedustingandenhancementoftopcoalcavingfaceviasinglechannelretinexbasedmethodwithfrequencydomainpriorinformation AT fenglilu jointdedustingandenhancementoftopcoalcavingfaceviasinglechannelretinexbasedmethodwithfrequencydomainpriorinformation AT xiaoxiaozhang jointdedustingandenhancementoftopcoalcavingfaceviasinglechannelretinexbasedmethodwithfrequencydomainpriorinformation AT guoyingzhang jointdedustingandenhancementoftopcoalcavingfaceviasinglechannelretinexbasedmethodwithfrequencydomainpriorinformation
_version_	1718410259229310976

Joint Dedusting and Enhancement of Top-Coal Caving Face via Single-Channel Retinex-Based Method with Frequency Domain Prior Information

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