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Toward 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 …
Uncertainty estimation in HDR imaging with Bayesian neural networks
The goal of high dynamic range (HDR) imaging is to estimate potential high-quality images
from multi-exposed low dynamic range (LDR) inputs. Intuitively, there exist various possible …
from multi-exposed low dynamic range (LDR) inputs. Intuitively, there exist various possible …
[PDF][PDF] Deep high dynamic range imaging of dynamic scenes.
Standard digital cameras typically take images with under/overexposed regions because of
their sensors' limited dynamic range. The most common way to capture high dynamic range …
their sensors' limited dynamic range. The most common way to capture high dynamic range …
Alike: Accurate and lightweight keypoint detection and descriptor extraction
Existing methods detect the keypoints in a non-differentiable way, therefore they can not
directly optimize the position of keypoints through back-propagation. To address this issue …
directly optimize the position of keypoints through back-propagation. To address this issue …
Robust multi-exposure image fusion: a structural patch decomposition approach
We propose a simple yet effective structural patch decomposition approach for multi-
exposure image fusion (MEF) that is robust to ghosting effect. We decompose an image …
exposure image fusion (MEF) that is robust to ghosting effect. We decompose an image …
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 …
Deep HDR imaging via a non-local network
One of the most challenging problems in reconstructing a high dynamic range (HDR) image
from multiple low dynamic range (LDR) inputs is the ghosting artifacts caused by the object …
from multiple low dynamic range (LDR) inputs is the ghosting artifacts caused by the object …
Joint hdr denoising and fusion: A real-world mobile hdr image dataset
Mobile phones have become a ubiquitous and indispensable photographing device in our
daily life, while the small aperture and sensor size make mobile phones more susceptible to …
daily life, while the small aperture and sensor size make mobile phones more susceptible to …
Dual-scale single image dehazing via neural augmentation
Model-based single image dehazing algorithms restore haze-free images with sharp edges
and rich details for real-world hazy images at the expense of low PSNR and SSIM values for …
and rich details for real-world hazy images at the expense of low PSNR and SSIM values for …
Detail-enhanced multi-scale exposure fusion
Multi-scale exposure fusion is an effective image enhancement technique for a high
dynamic range (HDR) scene. In this paper, a new multi-scale exposure fusion algorithm is …
dynamic range (HDR) scene. In this paper, a new multi-scale exposure fusion algorithm is …