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 …
Deepfuse: A deep unsupervised approach for exposure fusion with extreme exposure image pairs
K Ram Prabhakar, V Sai Srikar… - Proceedings of the …, 2017 - openaccess.thecvf.com
We present a novel deep learning architecture for fusing static multi-exposure images.
Current multi-exposure fusion (MEF) approaches use hand-crafted features to fuse input …
Current multi-exposure fusion (MEF) approaches use hand-crafted features to fuse input …
The state of the art in HDR deghosting: A survey and evaluation
Obtaining a high quality high dynamic range (HDR) image in the presence of camera and
object movement has been a long‐standing challenge. Many methods, known as HDR …
object movement has been a long‐standing challenge. Many methods, known as HDR …
[图书][B] Advanced high dynamic range imaging
This book explores the methods needed for creating and manipulating HDR content. HDR is
a step change from traditional imaging; more closely matching what we see with our eyes. In …
a step change from traditional imaging; more closely matching what we see with our eyes. In …
HDR deghosting: How to deal with saturation?
We present a novel method for aligning images in an HDR (high-dynamic-range) image
stack to produce a new exposure stack where all the images are aligned and appear as if …
stack to produce a new exposure stack where all the images are aligned and appear as if …
[PDF][PDF] Exposure fusion using boosting Laplacian pyramid.
This paper proposes a new exposure fusion ap-proach for producing a high quality image
result from multiple exposure images. Based on the local weight and global weight by …
result from multiple exposure images. Based on the local weight and global weight by …
Dense SIFT for ghost-free multi-exposure fusion
Due to the limited capture range of common imaging sensors, a scene with high dynamic
range usually cannot be well described by a single still image because some regions in it …
range usually cannot be well described by a single still image because some regions in it …
High dynamic range imaging with context-aware transformer
F Zhou, Z Fu, D Zhang - 2023 International Joint Conference on …, 2023 - ieeexplore.ieee.org
Avoiding the introduction of ghosts when synthesising LDR images as high dynamic range
(HDR) images is a challenging task. Convolutional neural networks (CNNs) are effective for …
(HDR) images is a challenging task. Convolutional neural networks (CNNs) are effective for …
Towards practical and efficient high-resolution HDR deghosting with CNN
Abstract Generating High Dynamic Range (HDR) image in the presence of camera and
object motion is a tedious task. If uncorrected, these motions will manifest as ghosting …
object motion is a tedious task. If uncorrected, these motions will manifest as ghosting …
Labeled from unlabeled: Exploiting unlabeled data for few-shot deep hdr deghosting
Abstract High Dynamic Range (HDR) deghosting is an indispensable tool in capturing wide
dynamic range scenes without ghosting artifacts. Recently, convolutional neural networks …
dynamic range scenes without ghosting artifacts. Recently, convolutional neural networks …