Deep guided learning for fast multi-exposure image fusion
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 …
image sequences of arbitrary spatial resolution and exposure number. We first feed a low …
Scene segmentation-based luminance adjustment for multi-exposure image fusion
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 …
the adjustment, two novel scene segmentation approaches based on luminance distribution …
Quality assessment for multi-exposure fusion light field images with dynamic region segmentation
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 …
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 …
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
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 …
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
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 …
including multi-exposure image fusion, multi-focus image fusion, infrared/visible image …
A multi-scale patch-wise algorithm for multi-exposure image fusion
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 …
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 …
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 …
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 …
scene representation, and the related quality assessment issues are urgent to be …