Advancements in low light image enhancement techniques and recent applications

PP Anoop, R Deivanathan - Journal of Visual Communication and Image …, 2024 - Elsevier
Low-light image enhancement is an effective solution for improving image recognition by
both humans and machines. Due to low illuminance, images captured in such conditions …

Automated computationally intelligent methods for ocular vessel segmentation and disease detection: a review

Preity, AK Bhandari, S Shahnawazuddin - Archives of Computational …, 2024 - Springer
Ocular diseases are eventually increasing these days that cause partial or complete vision
loss even at an early age, the prominent reason behind this is cardiovascular diseases that …

A novel parameter adaptive dual channel MSPCNN based single image dehazing for intelligent transportation systems

G Sahu, A Seal, D Bhattacharjee… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Visibility issues in intelligent transportation systems are exacerbated by bad weather
conditions such as fog and haze. It has been observed from recent studies that major road …

Linear contrast enhancement network for low-illumination image enhancement

Z Zhou, Z Shi, W Ren - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
Images captured under low-illumination conditions usually suffer from severe degradations,
such as fading and low contrast, drastically affecting the performance of systems relying on …

HFMNet: Hierarchical feature mining network for low-light image enhancement

K Xu, H Chen, X Tan, Y Chen, Y Jin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Images captured in low-light environments often suffer from issues related to dark
illumination and damaged details, which results in poor visibility. To address these …

Low-light image enhancement via adaptive frequency decomposition network

X Liang, X Chen, K Ren, X Miao, Z Chen, Y Jin - Scientific Reports, 2023 - nature.com
Images captured in low light conditions suffer from low visibility, blurred details and strong
noise, resulting in unpleasant visual appearance and poor performance of high level visual …

Luminet: Multi-spatial attention generative adversarial network for backlit image enhancement

S Bose, S Nawale, D Khut… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Backlit image enhancement is a crucial task in improving the quality and visibility of the
underexposed regions in an image caused by the difference in illumination between the …

ColorPolarNet: Residual dense network-based chromatic intensity-polarization imaging in low-light environment

X Xu, M Wan, J Ge, H Chen, X Zhu… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Polarization imaging provides more dimensional information than traditional intensity
imaging and has been widely used in both military and civil areas, such as battlefield …

Camera response based nighttime image enhancement using concurrent reflectance

M Jha, AK Bhandari - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
This article proposes a novel scheme that enhances low-light images locally to prevail their
details and concurrently adapts camera response models (CRMs) to maintain the …

Low-light robust face super resolution via morphological transformation based locality-constrained representation

B Kumar, SS Rajput - Computers and Electrical Engineering, 2023 - Elsevier
A new low-light robust face super-resolution (SR) model via morphological transformation-
based locality-constrained representation (MTLcR) is proposed to improve the robustness of …