Results 51 to 60 of about 24,117,299 (286)

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

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 0004, Xiaohe Wu, Wangmeng Zuo   +3 more
openaire   +3 more sources

Low-Illumination Image Enhancement Based on Deep Learning Techniques: A Brief Review

Photonics, 2023
As a critical preprocessing technique, low-illumination image enhancement has a wide range of practical applications. It aims to improve the visual perception of a given image captured without sufficient illumination.
Hao Tang, Hongyu Zhu, Linfeng Fei, Tingwei Wang, Yichao Cao, Chao Xie   +5 more
doaj   +1 more source

Review on Image Enhancement for Low SNR and Low-Light Scenes [PDF]

Jisuanji kexue yu tansuo
In the research on the analysis of low signal-to-noise ratio (SNR) and low-light scenes, image enhancement techniques have become a crucial pillar for driving visual intelligent perception.
LI Yuzhe, HAO Qinghua, GAO Zhifa, XIE Rongzhen, ZHAO Ling, ZHOU Yu
doaj   +1 more source

Pre‐trained low‐light image enhancement transformer

IET Image Processing
Low‐light image enhancement is a longstanding challenge in low‐level vision, as images captured in low‐light conditions often suffer from significant aesthetic quality flaws.
Jingyao Zhang, Shijie Hao, Yuan Rao
doaj   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

DeepSelfie: Single-Shot Low-Light Enhancement for Selfies

IEEE Access, 2020
Taking a high-quality selfie photo in a low-light environment is challenging. Because the foreground and background often have different illumination conditions, they suffer heavily from over/under-exposure issues and cannot be treated in the same manner
Yucheng Lu, Dong-Wook Kim, Seung-Won Jung   +2 more
doaj   +1 more source

Structure‐forward targeting of claudins with synthetic binders

FEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

Troublemaker Learning for Low-Light Image Enhancement

Proceedings of the 2025 International Conference on Multimedia Retrieval
Low-light image enhancement (LLIE) restores the color and brightness of underexposed images. Supervised methods suffer from high costs in collecting low/normal-light image pairs. Unsupervised methods invest substantial effort in crafting complex loss functions.
Yinghao Song, Hao Ma, Bo Yang 0002, Yanchun Liang 0001, Hongwei Ge, Heow Pueh Lee, Chunguo Wu   +6 more
openaire   +4 more sources

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source