AN IMPROVED INFRARED AND VISIBLE IMAGE FUSION ALGORITHM BASED ON CURVELET TRANSFORM
The fusion of infrared images and visible images can combine complementary information in an image, so we can better describe a scene, and it is helpful for some tasks such as target detection, target localization and environment recognition. In this paper, we use the Second Generation Curvelet Tr...
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Format: | Article |
Language: | English |
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Zibeline International
2017-02-01
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Series: | Acta Informatica Malaysia |
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Online Access: | https://actainformaticamalaysia.com/archives/AIM/1aim2017/1aim2017-36-38.pdf |
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author | Zhichao. Yu |
author_facet | Zhichao. Yu |
author_sort | Zhichao. Yu |
collection | DOAJ |
description | The fusion of infrared images and visible images can combine complementary information in an image, so we can
better describe a scene, and it is helpful for some tasks such as target detection, target localization and environment
recognition. In this paper, we use the Second Generation Curvelet Transform (SGCT) to decompose infrared images
and grayscale visible images to propose a new image fusion algorithm. This algorithm uses a multi-resolution
decomposition of different tools and different fusion rules implementation. The simulation results show that,
compared with existing algorithms, this algorithm have improved to some extent in the evaluation of fused images. |
first_indexed | 2024-04-13T03:20:22Z |
format | Article |
id | doaj.art-1d210dabd30e43f49f585d75f9f4e05a |
institution | Directory Open Access Journal |
issn | 2521-0874 2521-0505 |
language | English |
last_indexed | 2024-04-13T03:20:22Z |
publishDate | 2017-02-01 |
publisher | Zibeline International |
record_format | Article |
series | Acta Informatica Malaysia |
spelling | doaj.art-1d210dabd30e43f49f585d75f9f4e05a2022-12-22T03:04:48ZengZibeline InternationalActa Informatica Malaysia2521-08742521-05052017-02-0111363810.26480/aim.01.2017.36.38AN IMPROVED INFRARED AND VISIBLE IMAGE FUSION ALGORITHM BASED ON CURVELET TRANSFORMZhichao. Yu The fusion of infrared images and visible images can combine complementary information in an image, so we can better describe a scene, and it is helpful for some tasks such as target detection, target localization and environment recognition. In this paper, we use the Second Generation Curvelet Transform (SGCT) to decompose infrared images and grayscale visible images to propose a new image fusion algorithm. This algorithm uses a multi-resolution decomposition of different tools and different fusion rules implementation. The simulation results show that, compared with existing algorithms, this algorithm have improved to some extent in the evaluation of fused images.https://actainformaticamalaysia.com/archives/AIM/1aim2017/1aim2017-36-38.pdfImage Fusion; Multi-resolution Analysis; the Second Generation Curvelet Transform |
spellingShingle | Zhichao. Yu AN IMPROVED INFRARED AND VISIBLE IMAGE FUSION ALGORITHM BASED ON CURVELET TRANSFORM Acta Informatica Malaysia Image Fusion; Multi-resolution Analysis; the Second Generation Curvelet Transform |
title | AN IMPROVED INFRARED AND VISIBLE IMAGE FUSION ALGORITHM BASED ON CURVELET TRANSFORM |
title_full | AN IMPROVED INFRARED AND VISIBLE IMAGE FUSION ALGORITHM BASED ON CURVELET TRANSFORM |
title_fullStr | AN IMPROVED INFRARED AND VISIBLE IMAGE FUSION ALGORITHM BASED ON CURVELET TRANSFORM |
title_full_unstemmed | AN IMPROVED INFRARED AND VISIBLE IMAGE FUSION ALGORITHM BASED ON CURVELET TRANSFORM |
title_short | AN IMPROVED INFRARED AND VISIBLE IMAGE FUSION ALGORITHM BASED ON CURVELET TRANSFORM |
title_sort | improved infrared and visible image fusion algorithm based on curvelet transform |
topic | Image Fusion; Multi-resolution Analysis; the Second Generation Curvelet Transform |
url | https://actainformaticamalaysia.com/archives/AIM/1aim2017/1aim2017-36-38.pdf |
work_keys_str_mv | AT zhichaoyu animprovedinfraredandvisibleimagefusionalgorithmbasedoncurvelettransform AT zhichaoyu improvedinfraredandvisibleimagefusionalgorithmbasedoncurvelettransform |