A comprehensive survey on robust image watermarking

W Wan, J Wang, Y Zhang, J Li, H Yu, J Sun - Neurocomputing, 2022 - Elsevier
With the rapid development and popularity of the Internet, multimedia security has become a
general essential concern. Especially, as manipulation of digital images gets much easier …

A comparative review of tone‐mapping algorithms for high dynamic range video

G Eilertsen, RK Mantiuk, J Unger - Computer graphics forum, 2017 - Wiley Online Library
Tone‐mapping constitutes a key component within the field of high dynamic range (HDR)
imaging. Its importance is manifested in the vast amount of tone‐mapping methods that can …

Hdr-nerf: High dynamic range neural radiance fields

X Huang, Q Zhang, Y Feng, H Li… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract We present High Dynamic Range Neural Radiance Fields (HDR-NeRF) to recover
an HDR radiance field from a set of low dynamic range (LDR) views with different …

HDR image reconstruction from a single exposure using deep CNNs

G Eilertsen, J Kronander, G Denes… - ACM transactions on …, 2017 - dl.acm.org
Camera sensors can only capture a limited range of luminance simultaneously, and in order
to create high dynamic range (HDR) images a set of different exposures are typically …

Deep tone mapping operator for high dynamic range images

A Rana, P Singh, G Valenzise, F Dufaux… - … on Image Processing, 2019 - ieeexplore.ieee.org
A computationally fast tone mapping operator (TMO) that can quickly adapt to a wide
spectrum of high dynamic range (HDR) content is quintessential for visualization on varied …

Advances in video compression system using deep neural network: A review and case studies

D Ding, Z Ma, D Chen, Q Chen, Z Liu… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Significant advances in video compression systems have been made in the past several
decades to satisfy the near-exponential growth of Internet-scale video traffic. From the …

Neural auto-exposure for high-dynamic range object detection

E Onzon, F Mannan, F Heide - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Real-world scenes have a dynamic range of up to 280 dB that today's imaging sensors
cannot directly capture. Existing live vision pipelines tackle this fundamental challenge by …

Implicit event-rgbd neural slam

D Qu, C Yan, D Wang, J Yin, Q Chen… - Proceedings of the …, 2024 - openaccess.thecvf.com
Implicit neural SLAM has achieved remarkable progress recently. Nevertheless existing
methods face significant challenges in non-ideal scenarios such as motion blur or lighting …

Scene segmentation-based luminance adjustment for multi-exposure image fusion

Y Kinoshita, H Kiya - IEEE Transactions on Image Processing, 2019 - ieeexplore.ieee.org
We propose a novel method for adjusting luminance for multi-exposure image fusion. For
the adjustment, two novel scene segmentation approaches based on luminance distribution …

Luminance attentive networks for HDR image and panorama reconstruction

H Yu, W Liu, C Long, B Dong, Q Zou… - Computer Graphics …, 2021 - Wiley Online Library
It is very challenging to reconstruct a high dynamic range (HDR) from a low dynamic range
(LDR) image as an ill‐posed problem. This paper proposes a luminance attentive network …