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 …
Deformable non-local network for video super-resolution
H Wang, D Su, C Liu, L Jin, X Sun, X Peng - IEEE Access, 2019 - ieeexplore.ieee.org
The video super-resolution (VSR) task aims to restore a high-resolution (HR) video frame by
using its corresponding low-resolution (LR) frame and multiple neighboring frames. At …
using its corresponding low-resolution (LR) frame and multiple neighboring frames. At …
[PDF][PDF] Single-image super-resolution algorithm based on structural self-similarity and deformation block features
Y Chen, J Wang, X Chen, M Zhu, K Yang, Z Wang… - IEEE …, 2019 - scholar.archive.org
To solve the problem of insufficient sample resources and poor noise immunity in single-
image super-resolution (SR) restoration procedure, the paper has proposed the single …
image super-resolution (SR) restoration procedure, the paper has proposed the single …
Spatial transformer generative adversarial network for robust image super-resolution
Recently, there have been significant advances in image super-resolution based on
generative adversarial networks (GANs) to achieve breakthroughs in generating more …
generative adversarial networks (GANs) to achieve breakthroughs in generating more …
Exposure-structure blending network for high dynamic range imaging of dynamic scenes
This paper presents a deep end-to-end network for high dynamic range (HDR) imaging of
dynamic scenes with background and foreground motions. Generating an HDR image from …
dynamic scenes with background and foreground motions. Generating an HDR image from …
A high dynamic range imaging method for short exposure multiview images
The restoration and enhancement of multiview low dynamic range (MVLDR) images
captured in low lighting conditions is a great challenge. The disparity maps are hardly …
captured in low lighting conditions is a great challenge. The disparity maps are hardly …
Multi-perspective discriminators-based generative adversarial network for image super resolution
OY Lee, YH Shin, JO Kim - IEEE Access, 2019 - ieeexplore.ieee.org
Recently, generative adversarial network-based image super resolution has been
investigated, and it has been shown to lead to overwhelming improvements in subjective …
investigated, and it has been shown to lead to overwhelming improvements in subjective …
Enhancing the surveillance detection range of image sensors using HDR techniques
M Purohit, M Singh, A Kumar… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Image sensor-based surveillance systems are used for scene analysis, image sequence
creation, and object detection. Natural scenes contain areas of high and low illumination …
creation, and object detection. Natural scenes contain areas of high and low illumination …
Multiview ghost-free image enhancement for in-the-wild images with unknown exposure and geometry
The multiview low dynamic range images captured with sparse camera arrangement under
ill-lighting conditions contain highlighted and shadow regions due to over-exposed and …
ill-lighting conditions contain highlighted and shadow regions due to over-exposed and …
End-to-end single image enhancement based on a dual network cascade model
Y Chen, M Yu, G Jiang, Z Peng, F Chen - Journal of Visual Communication …, 2019 - Elsevier
A single-exposure image may lose details because of the imaging dynamic range limitations
of single camera sensor. Multi-image fusion techniques are often used to improve the image …
of single camera sensor. Multi-image fusion techniques are often used to improve the image …