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Infrared and Visible Image Fusion Based on Different Constraints in the Non-Subsampled Shearlet Transform Domain
There are many artificial parameters when fuse infrared and visible images, to overcome the lack of detail in the fusion image because of the artifacts, a novel fusion algorithm for infrared and visible images that is based on different constraints in non-subsampled shearlet transform (NSST) domain...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948564/ https://www.ncbi.nlm.nih.gov/pubmed/29641505 http://dx.doi.org/10.3390/s18041169 |
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author | Huang, Yan Bi, Duyan Wu, Dongpeng |
author_facet | Huang, Yan Bi, Duyan Wu, Dongpeng |
author_sort | Huang, Yan |
collection | PubMed |
description | There are many artificial parameters when fuse infrared and visible images, to overcome the lack of detail in the fusion image because of the artifacts, a novel fusion algorithm for infrared and visible images that is based on different constraints in non-subsampled shearlet transform (NSST) domain is proposed. There are high bands and low bands of images that are decomposed by the NSST. After analyzing the characters of the bands, fusing the high level bands by the gradient constraint, the fused image can obtain more details; fusing the low bands by the constraint of saliency in the images, the targets are more salient. Before the inverse NSST, the Nash equilibrium is used to update the coefficient. The fused images and the quantitative results demonstrate that our method is more effective in reserving details and highlighting the targets when compared with other state-of-the-art methods. |
format | Online Article Text |
id | pubmed-5948564 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-59485642018-05-17 Infrared and Visible Image Fusion Based on Different Constraints in the Non-Subsampled Shearlet Transform Domain Huang, Yan Bi, Duyan Wu, Dongpeng Sensors (Basel) Article There are many artificial parameters when fuse infrared and visible images, to overcome the lack of detail in the fusion image because of the artifacts, a novel fusion algorithm for infrared and visible images that is based on different constraints in non-subsampled shearlet transform (NSST) domain is proposed. There are high bands and low bands of images that are decomposed by the NSST. After analyzing the characters of the bands, fusing the high level bands by the gradient constraint, the fused image can obtain more details; fusing the low bands by the constraint of saliency in the images, the targets are more salient. Before the inverse NSST, the Nash equilibrium is used to update the coefficient. The fused images and the quantitative results demonstrate that our method is more effective in reserving details and highlighting the targets when compared with other state-of-the-art methods. MDPI 2018-04-11 /pmc/articles/PMC5948564/ /pubmed/29641505 http://dx.doi.org/10.3390/s18041169 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Huang, Yan Bi, Duyan Wu, Dongpeng Infrared and Visible Image Fusion Based on Different Constraints in the Non-Subsampled Shearlet Transform Domain |
title | Infrared and Visible Image Fusion Based on Different Constraints in the Non-Subsampled Shearlet Transform Domain |
title_full | Infrared and Visible Image Fusion Based on Different Constraints in the Non-Subsampled Shearlet Transform Domain |
title_fullStr | Infrared and Visible Image Fusion Based on Different Constraints in the Non-Subsampled Shearlet Transform Domain |
title_full_unstemmed | Infrared and Visible Image Fusion Based on Different Constraints in the Non-Subsampled Shearlet Transform Domain |
title_short | Infrared and Visible Image Fusion Based on Different Constraints in the Non-Subsampled Shearlet Transform Domain |
title_sort | infrared and visible image fusion based on different constraints in the non-subsampled shearlet transform domain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948564/ https://www.ncbi.nlm.nih.gov/pubmed/29641505 http://dx.doi.org/10.3390/s18041169 |
work_keys_str_mv | AT huangyan infraredandvisibleimagefusionbasedondifferentconstraintsinthenonsubsampledshearlettransformdomain AT biduyan infraredandvisibleimagefusionbasedondifferentconstraintsinthenonsubsampledshearlettransformdomain AT wudongpeng infraredandvisibleimagefusionbasedondifferentconstraintsinthenonsubsampledshearlettransformdomain |