Deep guided learning for fast multi-exposure image fusion

K Ma, Z Duanmu, H Zhu, Y Fang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
We propose a fast multi-exposure image fusion (MEF) method, namely MEF-Net, for static
image sequences of arbitrary spatial resolution and exposure number. We first feed a low …

Scene segmentation-based luminance adjustment for multi-exposure image fusion

Y Kinoshita, H Kiya - IEEE Transactions on Image Processing, 2019 - ieeexplore.ieee.org
We propose a novel method for adjusting luminance for multi-exposure image fusion. For
the adjustment, two novel scene segmentation approaches based on luminance distribution …

Quality assessment for multi-exposure fusion light field images with dynamic region segmentation

K Yao, G Jiang, M Yu, Y Chen, Y Cui, Z Jiang - Digital Signal Processing, 2024 - Elsevier
The luminance dynamic range of real scenes can reach up to nine orders, whereas the
existing light field camera captures light field images (LFIs) with a limited luminance dynamic …

Blind quality evaluator for multi-exposure fusion image via joint sparse features and complex-wavelet statistical characteristics

B Yang, Y Cui, L Liu, G Chen, J Xu, J Lin - Multimedia Systems, 2024 - Springer
Abstract Multi-Exposure Fusion (MEF) technique aims to fuse multiple images taken from the
same scene at different exposure levels into an image with more details. Although more and …

Superpixel-based quality assessment of multi-exposure image fusion for both static and dynamic scenes

Y Fang, Y Zeng, W Jiang, H Zhu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Multi-exposure image fusion (MEF) algorithms have been used to merge a stack of low
dynamic range images with various exposure levels into a well-perceived image. However …

General image fusion for an arbitrary number of inputs using convolutional neural networks

Y **ao, Z Guo, P Veelaert, W Philips - Sensors, 2022 - mdpi.com
In this paper, we propose a unified and flexible framework for general image fusion tasks,
including multi-exposure image fusion, multi-focus image fusion, infrared/visible image …

A multi-scale patch-wise algorithm for multi-exposure image fusion

J Jia, J Sun, Z Zhu - Optik, 2021 - Elsevier
Multi-exposure fusion is a high dynamic range image generation method. The challenge it
faces is to reconstruct artifact-free high dynamic range images for dynamic scenes …

Multi-exposure x-ray image fusion quality evaluation based on CSF and gradient amplitude similarity

Y Qi, Z Yang, L Kang - Journal of X-Ray Science and …, 2021 - content.iospress.com
Due to the limitation of dynamic range of the imaging device, the fixed-voltage X-ray images
often produce overexposed or underexposed regions. Some structure information of the …

A method for quality evaluation of multi-exposure fusion images with multi-scale gradient magnitude

Z Zhu, H Liang, Y Li, G Qi - Proceedings of 2021 Chinese Intelligent …, 2022 - Springer
Multi-exposure fusion (MEF) combines multiple images with different exposures taken in the
same scene into a more detailed image. Aiming at the problems of messy structure …

Curvature and entropy statistics-based blind multi-exposure fusion image quality assessment

Z He, Y Song, C Zhong, L Li - Symmetry, 2021 - mdpi.com
The multi-exposure fusion (MEF) technique provides humans a new opportunity for natural
scene representation, and the related quality assessment issues are urgent to be …