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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Main Authors: Ke Xu, Qin Wang, Huangqing Xiao, Kelin Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
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.
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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