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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| Format: | Article |
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MDPI AG
2021-11-01
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| Series: | Symmetry |
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| Online Access: | https://www.mdpi.com/2073-8994/13/11/2097 |
| _version_ | 1797508344689197056 |
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| author | Chengcai Fu Fengli Lu Xiaoxiao Zhang Guoying Zhang |
| author_facet | Chengcai Fu Fengli Lu Xiaoxiao Zhang Guoying Zhang |
| author_sort | Chengcai Fu |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T05:00:46Z |
| format | Article |
| id | doaj.art-0c0d160fcd7a4491a37e04310fac4e5e |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-03-10T05:00:46Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-0c0d160fcd7a4491a37e04310fac4e5e2023-11-23T01:44:54ZengMDPI AGSymmetry2073-89942021-11-011311209710.3390/sym13112097Joint Dedusting and Enhancement of Top-Coal Caving Face via Single-Channel Retinex-Based Method with Frequency Domain Prior InformationChengcai Fu0Fengli Lu1Xiaoxiao Zhang2Guoying Zhang3School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083, ChinaSchool of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083, ChinaSchool of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083, ChinaSchool of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing 100083, ChinaAffected 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.https://www.mdpi.com/2073-8994/13/11/2097top-coal caving faceimage dedustingfrequency domain prior informationfast single-channel MSRCR |
| spellingShingle | 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 Symmetry top-coal caving face image dedusting frequency domain prior information fast single-channel MSRCR |
| title | 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_short | 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 |
| topic | top-coal caving face image dedusting frequency domain prior information fast single-channel MSRCR |
| url | https://www.mdpi.com/2073-8994/13/11/2097 |
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