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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Main Author: Zhichao. Yu
Format: Article
Language:English
Published: Zibeline International 2017-02-01
Series:Acta Informatica Malaysia
Subjects:
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.
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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
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