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Fast exposure fusion of detail enhancement for brightest and darkest regions

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Abstract

Multi-exposure fusion is the common approach to generate high dynamic range (HDR) images that combines multi-exposure images captured for the same scene, but the traditional multi-exposure fusion algorithms lose details in the brightest and darkest regions of the scene. Therefore, many detail enhancement-based exposure fusion algorithms have been proposed to extract these details. However, these algorithms have low efficiency because of the complexity of detail enhancement mechanism, and most of them excessively enhance all the pixels besides of the necessary brightest and darkest pixels. We propose a local detail enhancement mechanism to enhance only the details of brightest and darkest regions by using fast local Laplacian filtering (FLLF). A large number of experiments show that the proposed algorithm has much more high efficiency than the current detail enhancement-based exposure fusion algorithms, and the brightest and darkest details in the high dynamic range scene are preserved well.

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Acknowledgements

This work is supported by the General Program of Natural Science Foundation of the Jiangsu Higher Education Institutions of China (No. 19KJB520007), the Project of High-level Talents Research Foundation of Jinling Institute of Technology (No. jit-b-201802), the Science and Education Integration Project of Jinling Institute of Technology (No. 2020KJRH28) and the Shandong Provincial Natural Science Foundation (No. ZR2019PF023).

Funding

This study was funded by the Project of High-level Talents Research Foundation of Jinling Institute of Technology (No. jit-b-201802), the General Program of Natural Science Foundation of the Jiangsu Higher Education Institutions of China (No. 19KJB520007).

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Authors and Affiliations

  1. School of Computer Engineering, Jinling Institute of Technology, Nanjing, 211169, Jiangsu, China

    Chunmeng Wang

  2. Media and Communication College, Weifang University, Weifang, 261061, Shandong, China

    Chen He

  3. School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, 250014, Shandong, China

    Minfeng Xu

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  1. Chunmeng Wang
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  2. Chen He
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  3. Minfeng Xu
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Correspondence to Chunmeng Wang.

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Wang, C., He, C. & Xu, M. Fast exposure fusion of detail enhancement for brightest and darkest regions. Vis Comput 37, 1233–1243 (2021). https://doi.org/10.1007/s00371-021-02079-5

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