Results 51 to 60 of about 850,785 (317)

Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement [PDF]

Computer Vision and Pattern Recognition, 2023
Low-light image enhancement (LLIE) investigates how to improve illumination and produce normal-light images. The majority of existing methods improve low-light images via a global and uniform manner, without taking into account the semantic information ...
Yuhui Wu, Chen Pan, Guoqing Wang, Yang Yang, Jiwei Wei, Chongyi Li, Hengtao Shen   +6 more
semanticscholar   +1 more source

Optical phase conjugation with less than a photon per degree of freedom [PDF]

, 2016
We demonstrate experimentally that optical phase conjugation can be used to focus light through strongly scattering media even when far less than a photon per optical degree of freedom is detected.
Jang, M., Vellekoop, I. M., Yang, C.
core   +5 more sources

Channel splitting attention network for low‐light image enhancement

IET Image Processing, 2022
Low‐light enhancement is a crucial task in computer vision because of the limited dynamic range of digital imaging devices in poor lighting conditions. Images taken under low‐light conditions often suffer from insufficient brightness and severe noise. At
Bibo Lu, Zebang Pang, Yanan Gu, Yanmei Zheng   +3 more
doaj   +1 more source

MAGAN: Unsupervised Low-Light Image Enhancement Guided by Mixed-Attention

Big Data Mining and Analytics, 2022
Most learning-based low-light image enhancement methods typically suffer from two problems. First, they require a large amount of paired data for training, which are difficult to acquire in most cases.
Renjun Wang, Bin Jiang, Chao Yang, Qiao Li, Bolin Zhang   +4 more
doaj   +1 more source

Focusing and Compression of Ultrashort Pulses through Scattering Media [PDF]

, 2011
Light scattering in inhomogeneous media induces wavefront distortions which pose an inherent limitation in many optical applications. Examples range from microscopy and nanosurgery to astronomy.
A Assion, A Derode, AM Weiner, BA Wilt, BJ Pearson, BK Andrasfalvy, C-L Hsieh, D Oron, D Oron, D Yelin, E Small, E Tal, Eran Small, F Lemoult, G Lerosey, H Rabitz, H Szmacinski, IM Vellekoop, IM Vellekoop, IM Vellekoop, IM Vellekoop, IM Vellekoop, J Aulbach, JC Diels, JM Dela Cruz, JW Goodman, M Aeschlimann, M Cui, M Fink, M Oheim, M Rueckel, MA Webster, MI Stockman, MJ Booth, NC Bruce, Ori Katz, P Sebbah, PM Johnson, RK Tyson, S Popoff, SM Popoff, T Čižmár, W Denk, Y Jiang, Yaron Bromberg, Yaron Silberberg, Z Yaqoob   +46 more
core   +1 more source

Endoscopic image enhancement with noise suppression

Healthcare Technology Letters, 2018
Stereoscopic endoscopes have been used increasingly in minimally invasive surgery to visualise the organ surface and manipulate various surgical tools. However, insufficient and irregular light sources become major challenges for endoscopic surgery.
Wenyao Xia, Elvis C.S. Chen, Terry Peters   +2 more
doaj   +1 more source

Semantically Contrastive Learning for Low-Light Image Enhancement

Proceedings of the AAAI Conference on Artificial Intelligence, 2022
Low-light image enhancement (LLE) remains challenging due to the unfavorable prevailing low-contrast and weak-visibility problems of single RGB images. In this paper, we respond to the intriguing learning-related question -- if leveraging both accessible unpaired over/underexposed images and high-level semantic guidance, can improve the performance of ...
Liang, Dong, Li, Ling, Wei, Mingqiang, Yang, Shuo, Zhang, Liyan, Yang, Wenhan, Du, Yun, Zhou, Huiyu   +7 more
openaire   +2 more sources

Convolutional Neural Network-Based Low Light Image Enhancement Method

Компьютерная оптика
With advances in science and technology, remote sensing images are vital for vegetation monitoring. The use of remote sensing allows for the collection of widespread, multi-temporal data on vegetation, leading to a better comprehension and management of ...
M.X. Li, C.J. Xu
doaj   +3 more sources

Invertible network for unpaired low-light image enhancement

The Visual Computer, 2023
Existing unpaired low-light image enhancement approaches prefer to employ the two-way GAN framework, in which two CNN generators are deployed for enhancement and degradation separately. However, such data-driven models ignore the inherent characteristics of transformation between the low and normal light images, leading to unstable training and ...
Jize Zhang, Haolin Wang, Xiaohe Wu, Wangmeng Zuo   +3 more
openaire   +2 more sources

A solution processed flexible nanocomposite electrode with efficient light extraction for organic light emitting diodes. [PDF]

, 2014
Highly efficient organic light emitting diodes (OLEDs) based on multiple layers of vapor evaporated small molecules, indium tin oxide transparent electrode, and glass substrate have been extensively investigated and are being commercialized.
Chou, Shu-Yu, Li, Lu, Liang, Jiajie, Niu, Xiaofan, Pei, Qibing, ZhibinYu, Zhu, Xiaodan   +6 more
core   +2 more sources