Multi-Exposure Image Fusion Techniques: A Comprehensive Review [PDF]
Remote Sensing, 2022 Multi-exposure image fusion (MEF) is emerging as a research hotspot in the fields of image processing and computer vision, which can integrate images with multiple exposure levels into a full exposure image of high quality.
Fang Xu +4 more
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Multi-Exposure Image Fusion Algorithm Based on Improved Weight Function [PDF]
Frontiers in Neurorobotics, 2022 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-
Ke Xu +3 more
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A Novel Multi-Exposure Image Fusion Method Based on Adaptive Patch Structure [PDF]
Entropy, 2018 Multi-exposure image fusion methods are often applied to the fusion of low-dynamic images that are taken from the same scene at different exposure levels.
Yuanyuan Li +6 more
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A Precise Multi-Exposure Image Fusion Method Based on Low-level Features [PDF]
Sensors, 2020 Multi exposure image fusion (MEF) provides a concise way to generate high-dynamic-range (HDR) images. Although the precise fusion can be achieved by existing MEF methods in different static scenes, the corresponding performance of ghost removal varies in
Guanqiu Qi +5 more
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Ref-MEF: Reference-Guided Flexible Gated Image Reconstruction Network for Multi-Exposure Image Fusion [PDF]
EntropyMulti-exposure image fusion (MEF) is a computational approach that amalgamates multiple images, each captured at varying exposure levels, into a singular, high-quality image that faithfully encapsulates the visual information from all the contributing ...
Yuhui Huang +4 more
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Benchmarking and comparing multi-exposure image fusion algorithms [PDF]
Information Fusion, 2021 24 pages, 5 figures, 4 ...
Xingchen Zhang
exaly +3 more sources
Single Image Defogging Method Based on Image Patch Decomposition and Multi-Exposure Image Fusion [PDF]
Frontiers in Neurorobotics, 2021 Bad weather conditions (such as fog, haze) seriously affect the visual quality of images. According to the scene depth information, physical model-based methods are used to improve image visibility for further image restoration.
Qiuzhuo Liu +12 more
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A Method for Fast Multi-Exposure Image Fusion
IEEE Access, 2017 This paper proposes a method for fusing multi-exposed images that can operate on digital cameras or smartphones. The proposed method consists of an automatic exposure bracketing algorithm that determines which exposures to capture and a newly proposed ...
Seungcheol Choi, Oh-Jin Kwon, Jinhee Lee
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MEF-CAAN: Multi-Exposure Image Fusion Based on a Low-Resolution Context Aggregation Attention Network [PDF]
SensorsRecently, deep learning-based multi-exposure image fusion methods have been widely explored due to their high efficiency and adaptability. However, most existing multi-exposure image fusion methods have insufficient feature extraction ability for ...
Wenxiang Zhang, Chunmeng Wang, Jun Zhu
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Multi-exposure image fusion based on wavelet transform
International Journal of Advanced Robotic Systems, 2018 This article proposes a novel wavelet-based algorithm for the fusion of multi-exposed images. The luminance inversion is suppressed and the contrast of the fused image is enhanced, by introducing the brightness of input images into the well-exposedness ...
Wenlong Zhang +3 more
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