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A low-light image enhancement method with brightness balance and detail preservation
This paper proposes a new method for low-light image enhancement with balancing image brightness and preserving image details, this method can improve the brightness and contrast of low-light images while maintaining image details. Traditional histogram equalization methods often lead to excessive e...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9154181/ https://www.ncbi.nlm.nih.gov/pubmed/35639677 http://dx.doi.org/10.1371/journal.pone.0262478 |
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author | Li, Canlin Zhu, Jinjuan Bi, Lihua Zhang, Weizheng Liu, Yan |
author_facet | Li, Canlin Zhu, Jinjuan Bi, Lihua Zhang, Weizheng Liu, Yan |
author_sort | Li, Canlin |
collection | PubMed |
description | This paper proposes a new method for low-light image enhancement with balancing image brightness and preserving image details, this method can improve the brightness and contrast of low-light images while maintaining image details. Traditional histogram equalization methods often lead to excessive enhancement and loss of details, thereby resulting in an unclear and unnatural appearance. In this method, the image is processed bidirectionally. On the one hand, the image is processed by double histogram equalization with double automatic platform method based on improved cuckoo search (CS) algorithm, where the image histogram is segmented firstly, and the platform limit is selected according to the histogram statistics and improved CS technology. Then, the sub-histograms are clipped by two platforms and carried out the histogram equalization respectively. Finally, an image with balanced brightness and good contrast can be obtained. On the other hand, the main structure of the image is extracted based on the total variation model, and the image mask with all the texture details is made by removing the main structure of the image. Eventually, the final enhanced image is obtained by adding the mask with texture details to the image with balanced brightness and good contrast. Compared with the existing methods, the proposed algorithm significantly enhances the visual effect of the low-light images, based on human subjective evaluation and objective evaluation indices. Experimental results show that the proposed method in this paper is better than the existing methods. |
format | Online Article Text |
id | pubmed-9154181 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-91541812022-06-01 A low-light image enhancement method with brightness balance and detail preservation Li, Canlin Zhu, Jinjuan Bi, Lihua Zhang, Weizheng Liu, Yan PLoS One Research Article This paper proposes a new method for low-light image enhancement with balancing image brightness and preserving image details, this method can improve the brightness and contrast of low-light images while maintaining image details. Traditional histogram equalization methods often lead to excessive enhancement and loss of details, thereby resulting in an unclear and unnatural appearance. In this method, the image is processed bidirectionally. On the one hand, the image is processed by double histogram equalization with double automatic platform method based on improved cuckoo search (CS) algorithm, where the image histogram is segmented firstly, and the platform limit is selected according to the histogram statistics and improved CS technology. Then, the sub-histograms are clipped by two platforms and carried out the histogram equalization respectively. Finally, an image with balanced brightness and good contrast can be obtained. On the other hand, the main structure of the image is extracted based on the total variation model, and the image mask with all the texture details is made by removing the main structure of the image. Eventually, the final enhanced image is obtained by adding the mask with texture details to the image with balanced brightness and good contrast. Compared with the existing methods, the proposed algorithm significantly enhances the visual effect of the low-light images, based on human subjective evaluation and objective evaluation indices. Experimental results show that the proposed method in this paper is better than the existing methods. Public Library of Science 2022-05-31 /pmc/articles/PMC9154181/ /pubmed/35639677 http://dx.doi.org/10.1371/journal.pone.0262478 Text en © 2022 Li et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Li, Canlin Zhu, Jinjuan Bi, Lihua Zhang, Weizheng Liu, Yan A low-light image enhancement method with brightness balance and detail preservation |
title | A low-light image enhancement method with brightness balance and detail preservation |
title_full | A low-light image enhancement method with brightness balance and detail preservation |
title_fullStr | A low-light image enhancement method with brightness balance and detail preservation |
title_full_unstemmed | A low-light image enhancement method with brightness balance and detail preservation |
title_short | A low-light image enhancement method with brightness balance and detail preservation |
title_sort | low-light image enhancement method with brightness balance and detail preservation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9154181/ https://www.ncbi.nlm.nih.gov/pubmed/35639677 http://dx.doi.org/10.1371/journal.pone.0262478 |
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