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Efficient joint noise removal and multi exposure fusion. [PDF]

PLoS ONE, 2022
Multi-exposure fusion (MEF) is a technique that combines different snapshots of the same scene, captured with different exposure times, into a single image.
Antoni Buades, Jose Luis Lisani, Onofre Martorell   +2 more
doaj   +5 more sources

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, Jinghong Liu, Yueming Song, Hui Sun, Xuan Wang   +4 more
doaj   +4 more sources

HCNet: Multi-Exposure High-Dynamic-Range Reconstruction Network for Coded Aperture Snapshot Spectral Imaging [PDF]

Sensors
Coded Aperture Snapshot Spectral Imaging (CASSI) is a rapid hyperspectral imaging technique with broad application prospects. Due to limitations in three-dimensional compressed data acquisition modes and hardware constraints, the compressed measurements ...
Hang Shi, Jingxia Chen, Yahui Li, Pengwei Zhang, Jinshou Tian   +4 more
doaj   +2 more sources

A Precise Multi-Exposure Image Fusion Method Based on Low-level Features

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, Liang Chang, Yaqin Luo, Yinong Chen, Zhiqin Zhu, Shujuan Wang   +5 more
doaj   +3 more sources

Multi-Exposure Image Fusion Algorithm Based on Improved Weight Function

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, Qin Wang, Huangqing Xiao, Kelin Liu   +3 more
doaj   +1 more source

Multi-exposure electric power monitoring image fusion method without ghosting based on exposure fusion framework and color dissimilarity feature

Frontiers in Neurorobotics, 2023
To solve the ghosting artifacts problem in dynamic scene multi-scale exposure fusion, an improved multi-exposure fusion method has been proposed without ghosting based on the exposure fusion framework and the color dissimilarity feature of this study ...
Sichao Chen, Zhenfei Li, Dilong Shen, Yunzhu An, Jian Yang, Bin Lv, Guohua Zhou   +6 more
doaj   +1 more source

Deep Learning-Based Patch-Wise Illumination Estimation for Enhanced Multi-Exposure Fusion

IEEE Access, 2023
This article suggests a unique technique for multi-exposure fusion using convolutional neural networks (CNNs) for patch-wise illumination estimates. Multi-exposure fusion is a crucial component of enhancing image quality, particularly in circumstances ...
Zainab AlZamili, Kassem M. Danach, Mondher Frikha   +2 more
doaj   +1 more source

Two-Exposure Image Fusion Based on Optimized Adaptive Gamma Correction

Sensors, 2021
In contrast to conventional digital images, high-dynamic-range (HDR) images have a broader range of intensity between the darkest and brightest regions to capture more details in a scene.
Yan-Tsung Peng, He-Hao Liao, Ching-Fu Chen   +2 more
doaj   +1 more source

Multi-Exposure Fusion With Guidance Information: Night Color Image Enhancement for Roadside Units

IEEE Access, 2023
The computer vision-based roadside occupation surveillance system is a key infrastructure component of Cooperative Intelligent Transport Systems. However, traffic images captured under low-light conditions suffer from low visibility and unexpected noise.
Chen Yaqing, Wang Huaming
doaj   +1 more source

Multi‐exposure image fusion based on feature evaluation with adaptive factor

IET Image Processing, 2021
The authors present a new multi‐exposure images fusion method based on feature evaluation with adaptive factor. It is noticed the existing multi‐exposure fusion algorithm is not well adapted to the input images, which are overall bright or dark, the ...
Li Huang, Zhengping Li, Chao Xu, Bo Feng
doaj   +1 more source