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Contrast and Synthetic Multiexposure Fusion for Image Enhancement
Many hardware and software advancements have been made to improve image quality in smartphones, but unsuitable lighting conditions are still a significant impediment to image quality. To counter this problem, we present an image enhancement pipeline comprising synthetic multi-image exposure fusion a...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437604/ https://www.ncbi.nlm.nih.gov/pubmed/34527039 http://dx.doi.org/10.1155/2021/2030142 |
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author | Albahar, Marwan Ali |
author_facet | Albahar, Marwan Ali |
author_sort | Albahar, Marwan Ali |
collection | PubMed |
description | Many hardware and software advancements have been made to improve image quality in smartphones, but unsuitable lighting conditions are still a significant impediment to image quality. To counter this problem, we present an image enhancement pipeline comprising synthetic multi-image exposure fusion and contrast enhancement robust to different lighting conditions. In this paper, we propose a novel technique of generating synthetic multi-exposure images by applying gamma correction to an input image using different values according to its luminosity for generating multiple intermediate images, which are then transformed into a final synthetic image by applying contrast enhancement. We observed that our proposed contrast enhancement technique focuses on specific regions of an image resulting in varying exposure, colors, and details for generating synthetic images. Visual and statistical analysis shows that our method performs better in various lighting scenarios and achieves better statistical naturalness and discrete entropy scores than state-of-the-art methods. |
format | Online Article Text |
id | pubmed-8437604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-84376042021-09-14 Contrast and Synthetic Multiexposure Fusion for Image Enhancement Albahar, Marwan Ali Comput Intell Neurosci Research Article Many hardware and software advancements have been made to improve image quality in smartphones, but unsuitable lighting conditions are still a significant impediment to image quality. To counter this problem, we present an image enhancement pipeline comprising synthetic multi-image exposure fusion and contrast enhancement robust to different lighting conditions. In this paper, we propose a novel technique of generating synthetic multi-exposure images by applying gamma correction to an input image using different values according to its luminosity for generating multiple intermediate images, which are then transformed into a final synthetic image by applying contrast enhancement. We observed that our proposed contrast enhancement technique focuses on specific regions of an image resulting in varying exposure, colors, and details for generating synthetic images. Visual and statistical analysis shows that our method performs better in various lighting scenarios and achieves better statistical naturalness and discrete entropy scores than state-of-the-art methods. Hindawi 2021-09-03 /pmc/articles/PMC8437604/ /pubmed/34527039 http://dx.doi.org/10.1155/2021/2030142 Text en Copyright © 2021 Marwan Ali Albahar. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Albahar, Marwan Ali Contrast and Synthetic Multiexposure Fusion for Image Enhancement |
title | Contrast and Synthetic Multiexposure Fusion for Image Enhancement |
title_full | Contrast and Synthetic Multiexposure Fusion for Image Enhancement |
title_fullStr | Contrast and Synthetic Multiexposure Fusion for Image Enhancement |
title_full_unstemmed | Contrast and Synthetic Multiexposure Fusion for Image Enhancement |
title_short | Contrast and Synthetic Multiexposure Fusion for Image Enhancement |
title_sort | contrast and synthetic multiexposure fusion for image enhancement |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437604/ https://www.ncbi.nlm.nih.gov/pubmed/34527039 http://dx.doi.org/10.1155/2021/2030142 |
work_keys_str_mv | AT albaharmarwanali contrastandsyntheticmultiexposurefusionforimageenhancement |