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Supplementary Material- MFusionJ: Multi-Focus and Multi-exposure Image Fusion, Enhancing Detail Preservation

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DataCite Commons2026-04-18 更新2026-05-03 收录
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https://figshare.com/articles/dataset/Supplementary_Material-_MFusionJ_Multi-Focus_and_Multi-exposure_Image_Fusion_Enhancing_Detail_Preservation_under_Variable_Lighting_and_Noise_Conditions/30225706
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Multi-focus image fusion (MFIF) and multi-exposure image fusion (MEIF) results were generated using <b>MFusionJ</b>, an ImageJ plugin designed to provide a robust solution for depth-of-field (DoF) extension through advanced image processing. The plugin was also applied to multi-exposure image stacks, showcasing its strong ability to preserve fine details in both high- and low-light conditions. Extensive validation was performed on datasets including diatoms, cyanobacteria, and cervical cytology stacks. Quantitative evaluation using reference-based and non-reference metrics confirms that the proposed plugin outperforms one deep learning based image fusion (DLF) approach, two commercial focus-stacking tools and the existing ImageJ EDF plugin, producing fused images with reduced noise. Moreover, tests on multi-exposure series reveal performance comparable to state-of-the-art tone mapping software, highlighting the plugin’s robustness and versatility.
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figshare
创建时间:
2025-09-27
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