Cargando…
Low-Light Image Enhancement Based on Multi-Path Interaction
Due to the non-uniform illumination conditions, images captured by sensors often suffer from uneven brightness, low contrast and noise. In order to improve the quality of the image, in this paper, a multi-path interaction network is proposed to enhance the R, G, B channels, and then the three channe...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347206/ https://www.ncbi.nlm.nih.gov/pubmed/34372222 http://dx.doi.org/10.3390/s21154986 |
_version_ | 1783735029777563648 |
---|---|
author | Zhao, Bai Gong, Xiaolin Wang, Jian Zhao, Lingchao |
author_facet | Zhao, Bai Gong, Xiaolin Wang, Jian Zhao, Lingchao |
author_sort | Zhao, Bai |
collection | PubMed |
description | Due to the non-uniform illumination conditions, images captured by sensors often suffer from uneven brightness, low contrast and noise. In order to improve the quality of the image, in this paper, a multi-path interaction network is proposed to enhance the R, G, B channels, and then the three channels are combined into the color image and further adjusted in detail. In the multi-path interaction network, the feature maps in several encoding–decoding subnetworks are used to exchange information across paths, while a high-resolution path is retained to enrich the feature representation. Meanwhile, in order to avoid the possible unnatural results caused by the separation of the R, G, B channels, the output of the multi-path interaction network is corrected in detail to obtain the final enhancement results. Experimental results show that the proposed method can effectively improve the visual quality of low-light images, and the performance is better than the state-of-the-art methods. |
format | Online Article Text |
id | pubmed-8347206 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83472062021-08-08 Low-Light Image Enhancement Based on Multi-Path Interaction Zhao, Bai Gong, Xiaolin Wang, Jian Zhao, Lingchao Sensors (Basel) Communication Due to the non-uniform illumination conditions, images captured by sensors often suffer from uneven brightness, low contrast and noise. In order to improve the quality of the image, in this paper, a multi-path interaction network is proposed to enhance the R, G, B channels, and then the three channels are combined into the color image and further adjusted in detail. In the multi-path interaction network, the feature maps in several encoding–decoding subnetworks are used to exchange information across paths, while a high-resolution path is retained to enrich the feature representation. Meanwhile, in order to avoid the possible unnatural results caused by the separation of the R, G, B channels, the output of the multi-path interaction network is corrected in detail to obtain the final enhancement results. Experimental results show that the proposed method can effectively improve the visual quality of low-light images, and the performance is better than the state-of-the-art methods. MDPI 2021-07-22 /pmc/articles/PMC8347206/ /pubmed/34372222 http://dx.doi.org/10.3390/s21154986 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Zhao, Bai Gong, Xiaolin Wang, Jian Zhao, Lingchao Low-Light Image Enhancement Based on Multi-Path Interaction |
title | Low-Light Image Enhancement Based on Multi-Path Interaction |
title_full | Low-Light Image Enhancement Based on Multi-Path Interaction |
title_fullStr | Low-Light Image Enhancement Based on Multi-Path Interaction |
title_full_unstemmed | Low-Light Image Enhancement Based on Multi-Path Interaction |
title_short | Low-Light Image Enhancement Based on Multi-Path Interaction |
title_sort | low-light image enhancement based on multi-path interaction |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347206/ https://www.ncbi.nlm.nih.gov/pubmed/34372222 http://dx.doi.org/10.3390/s21154986 |
work_keys_str_mv | AT zhaobai lowlightimageenhancementbasedonmultipathinteraction AT gongxiaolin lowlightimageenhancementbasedonmultipathinteraction AT wangjian lowlightimageenhancementbasedonmultipathinteraction AT zhaolingchao lowlightimageenhancementbasedonmultipathinteraction |