Deep learning for hdr imaging: State-of-the-art and future trends
L Wang, KJ Yoon - IEEE transactions on pattern analysis and …, 2021 - ieeexplore.ieee.org
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 …
NTIRE 2021 challenge on high dynamic range imaging: Dataset, methods and results
This paper reviews the first challenge on high-dynamic range (HDR) imaging that was part
of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in …
of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in …
LIME: Low-light image enhancement via illumination map estimation
When one captures images in low-light conditions, the images often suffer from low visibility.
Besides degrading the visual aesthetics of images, this poor quality may also significantly …
Besides degrading the visual aesthetics of images, this poor quality may also significantly …
Learning a deep single image contrast enhancer from multi-exposure images
Due to the poor lighting condition and limited dynamic range of digital imaging devices, the
recorded images are often under-/over-exposed and with low contrast. Most of previous …
recorded images are often under-/over-exposed and with low contrast. Most of previous …
[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 …
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 …
Attention-guided network for ghost-free high dynamic range imaging
Ghosting artifacts caused by moving objects or misalignments is a key challenge in high
dynamic range (HDR) imaging for dynamic scenes. Previous methods first register the input …
dynamic range (HDR) imaging for dynamic scenes. Previous methods first register the input …
Ghost-free high dynamic range imaging with context-aware transformer
High dynamic range (HDR) deghosting algorithms aim to generate ghost-free HDR images
with realistic details. Restricted by the locality of the receptive field, existing CNN-based …
with realistic details. Restricted by the locality of the receptive field, existing CNN-based …
Star: A structure-aware lightweight transformer for real-time image enhancement
Image and video enhancement such as color constancy, low light enhancement, and tone
map** on smartphones is challenging because high-quality images should be achieved …
map** on smartphones is challenging because high-quality images should be achieved …
Hdr-gan: Hdr image reconstruction from multi-exposed ldr images with large motions
Y Niu, J Wu, W Liu, W Guo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Synthesizing high dynamic range (HDR) images from multiple low-dynamic range (LDR)
exposures in dynamic scenes is challenging. There are two major problems caused by the …
exposures in dynamic scenes is challenging. There are two major problems caused by the …