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Adaptive Total Variation Minimization-Based Image Enhancement from Flash and No-Flash Pairs
We present a novel approach for enhancing the quality of an image captured from a pair of flash and no-flash images. The main idea for image enhancement is to generate a new image by combining the ambient light of the no-flash image and the details of the flash image. In this approach, we propose a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3971534/ https://www.ncbi.nlm.nih.gov/pubmed/24715810 http://dx.doi.org/10.1155/2014/319506 |
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author | Yoon, Sang Min Lee, Yeon Ju Yoon, Gang-Joon Yoon, Jungho |
author_facet | Yoon, Sang Min Lee, Yeon Ju Yoon, Gang-Joon Yoon, Jungho |
author_sort | Yoon, Sang Min |
collection | PubMed |
description | We present a novel approach for enhancing the quality of an image captured from a pair of flash and no-flash images. The main idea for image enhancement is to generate a new image by combining the ambient light of the no-flash image and the details of the flash image. In this approach, we propose a method based on Adaptive Total Variation Minimization (ATVM) so that it has an efficient image denoising effect by preserving strong gradients of the flash image. Some numerical results are presented to demonstrate the effectiveness of the proposed scheme. |
format | Online Article Text |
id | pubmed-3971534 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-39715342014-04-08 Adaptive Total Variation Minimization-Based Image Enhancement from Flash and No-Flash Pairs Yoon, Sang Min Lee, Yeon Ju Yoon, Gang-Joon Yoon, Jungho ScientificWorldJournal Research Article We present a novel approach for enhancing the quality of an image captured from a pair of flash and no-flash images. The main idea for image enhancement is to generate a new image by combining the ambient light of the no-flash image and the details of the flash image. In this approach, we propose a method based on Adaptive Total Variation Minimization (ATVM) so that it has an efficient image denoising effect by preserving strong gradients of the flash image. Some numerical results are presented to demonstrate the effectiveness of the proposed scheme. Hindawi Publishing Corporation 2014-03-04 /pmc/articles/PMC3971534/ /pubmed/24715810 http://dx.doi.org/10.1155/2014/319506 Text en Copyright © 2014 Sang Min Yoon et al. https://creativecommons.org/licenses/by/3.0/ 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 Yoon, Sang Min Lee, Yeon Ju Yoon, Gang-Joon Yoon, Jungho Adaptive Total Variation Minimization-Based Image Enhancement from Flash and No-Flash Pairs |
title | Adaptive Total Variation Minimization-Based Image Enhancement from Flash and No-Flash Pairs |
title_full | Adaptive Total Variation Minimization-Based Image Enhancement from Flash and No-Flash Pairs |
title_fullStr | Adaptive Total Variation Minimization-Based Image Enhancement from Flash and No-Flash Pairs |
title_full_unstemmed | Adaptive Total Variation Minimization-Based Image Enhancement from Flash and No-Flash Pairs |
title_short | Adaptive Total Variation Minimization-Based Image Enhancement from Flash and No-Flash Pairs |
title_sort | adaptive total variation minimization-based image enhancement from flash and no-flash pairs |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3971534/ https://www.ncbi.nlm.nih.gov/pubmed/24715810 http://dx.doi.org/10.1155/2014/319506 |
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