Deep learning for hdr imaging: State-of-the-art and future trends
High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range
of exposures, which is important in image processing, computer graphics, and computer …
of exposures, which is important in image processing, computer graphics, and computer …
Multi-exposure image fusion techniques: A comprehensive review
F Xu, J Liu, Y Song, H Sun, X Wang - Remote Sensing, 2022 - mdpi.com
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 …
processing and computer vision, which can integrate images with multiple exposure levels …
Detail-preserving multi-exposure fusion with edge-preserving structural patch decomposition
The multi-exposure fusion (MEF) methods have received much attention in recent years due
to the importance of constructing high dynamic range images. Among most of the existing …
to the importance of constructing high dynamic range images. Among most of the existing …
Towards high-quality HDR deghosting with conditional diffusion models
High Dynamic Range (HDR) images can be recovered from several Low Dynamic Range
(LDR) images by existing Deep Neural Networks (DNNs) techniques. Despite the …
(LDR) images by existing Deep Neural Networks (DNNs) techniques. Despite the …
Multi-scale exposure fusion via content adaptive edge-preserving smoothing pyramids
Multi-scale exposure fusion (MEF) is an efficient way to fuse differently exposed low dynamic
range (LDR) images of a high dynamic range (HDR) scene into an information enriched …
range (LDR) images of a high dynamic range (HDR) scene into an information enriched …
Multi-exposure image fusion via multi-scale and context-aware feature learning
In this letter, a deep learning (DL)-based multi-exposure image fusion (MEF) method via
multi-scale and context-aware feature learning is proposed, aiming to overcome the defects …
multi-scale and context-aware feature learning is proposed, aiming to overcome the defects …
Uphdr-gan: Generative adversarial network for high dynamic range imaging with unpaired data
The paper proposes a method to effectively fuse multi-exposure inputs and generate high-
quality high dynamic range (HDR) images with unpaired datasets. Deep learning-based …
quality high dynamic range (HDR) images with unpaired datasets. Deep learning-based …
An Improved Multiexposure Image Fusion Technique
Multiexposure image fusion (MEF) is an effective approach to generate high dynamic range
images from multilevel exposures taken from ordinary cameras. In this article, a novel MEF …
images from multilevel exposures taken from ordinary cameras. In this article, a novel MEF …
A fully automatic content adaptive inverse tone mapping operator with improved color accuracy
P Mohammadi, MT Pourazad… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
High Dynamic Range (HDR) technology offers a higher visual quality compared to its
Standard Dynamic Range (SDR) counterpart, as it tries to imitate the way our eyes perceive …
Standard Dynamic Range (SDR) counterpart, as it tries to imitate the way our eyes perceive …
Deep Learning-Based Patch-Wise Illumination Estimation for Enhanced Multi-Exposure Fusion
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 …
neural networks (CNNs) for patch-wise illumination estimates. Multi-exposure fusion is a …