Multi-Exposure Image Fusion Algorithm Based on Improved Weight Function
High-dynamic-range (HDR) image has a wide range of applications, but its access is limited. Multi-exposure image fusion techniques have been widely concerned because they can obtain images similar to HDR images. In order to solve the detail loss of multi-exposure image fusion (MEF) in image reconstr...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2022-03-01
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Series: | Frontiers in Neurorobotics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnbot.2022.846580/full |
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author | Ke Xu Qin Wang Huangqing Xiao Kelin Liu |
author_facet | Ke Xu Qin Wang Huangqing Xiao Kelin Liu |
author_sort | Ke Xu |
collection | DOAJ |
description | High-dynamic-range (HDR) image has a wide range of applications, but its access is limited. Multi-exposure image fusion techniques have been widely concerned because they can obtain images similar to HDR images. In order to solve the detail loss of multi-exposure image fusion (MEF) in image reconstruction process, exposure moderate evaluation and relative brightness are used as joint weight functions. On the basis of the existing Laplacian pyramid fusion algorithm, the improved weight function can capture the more accurate image details, thereby making the fused image more detailed. In 20 sets of multi-exposure image sequences, six multi-exposure image fusion methods are compared in both subjective and objective aspects. Both qualitative and quantitative performance analysis of experimental results confirm that the proposed multi-scale decomposition image fusion method can produce high-quality HDR images. |
first_indexed | 2024-12-22T02:02:41Z |
format | Article |
id | doaj.art-eeccb43e0a224fc7bfbc66b0168960da |
institution | Directory Open Access Journal |
issn | 1662-5218 |
language | English |
last_indexed | 2024-12-22T02:02:41Z |
publishDate | 2022-03-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Neurorobotics |
spelling | doaj.art-eeccb43e0a224fc7bfbc66b0168960da2022-12-21T18:42:37ZengFrontiers Media S.A.Frontiers in Neurorobotics1662-52182022-03-011610.3389/fnbot.2022.846580846580Multi-Exposure Image Fusion Algorithm Based on Improved Weight FunctionKe XuQin WangHuangqing XiaoKelin LiuHigh-dynamic-range (HDR) image has a wide range of applications, but its access is limited. Multi-exposure image fusion techniques have been widely concerned because they can obtain images similar to HDR images. In order to solve the detail loss of multi-exposure image fusion (MEF) in image reconstruction process, exposure moderate evaluation and relative brightness are used as joint weight functions. On the basis of the existing Laplacian pyramid fusion algorithm, the improved weight function can capture the more accurate image details, thereby making the fused image more detailed. In 20 sets of multi-exposure image sequences, six multi-exposure image fusion methods are compared in both subjective and objective aspects. Both qualitative and quantitative performance analysis of experimental results confirm that the proposed multi-scale decomposition image fusion method can produce high-quality HDR images.https://www.frontiersin.org/articles/10.3389/fnbot.2022.846580/fullhigh dynamic range imagemulti-scale decompositionmulti-exposure imagesimage fusionLaplacian pyramid (LP) |
spellingShingle | Ke Xu Qin Wang Huangqing Xiao Kelin Liu Multi-Exposure Image Fusion Algorithm Based on Improved Weight Function Frontiers in Neurorobotics high dynamic range image multi-scale decomposition multi-exposure images image fusion Laplacian pyramid (LP) |
title | Multi-Exposure Image Fusion Algorithm Based on Improved Weight Function |
title_full | Multi-Exposure Image Fusion Algorithm Based on Improved Weight Function |
title_fullStr | Multi-Exposure Image Fusion Algorithm Based on Improved Weight Function |
title_full_unstemmed | Multi-Exposure Image Fusion Algorithm Based on Improved Weight Function |
title_short | Multi-Exposure Image Fusion Algorithm Based on Improved Weight Function |
title_sort | multi exposure image fusion algorithm based on improved weight function |
topic | high dynamic range image multi-scale decomposition multi-exposure images image fusion Laplacian pyramid (LP) |
url | https://www.frontiersin.org/articles/10.3389/fnbot.2022.846580/full |
work_keys_str_mv | AT kexu multiexposureimagefusionalgorithmbasedonimprovedweightfunction AT qinwang multiexposureimagefusionalgorithmbasedonimprovedweightfunction AT huangqingxiao multiexposureimagefusionalgorithmbasedonimprovedweightfunction AT kelinliu multiexposureimagefusionalgorithmbasedonimprovedweightfunction |