Results 71 to 80 of about 12,335,378 (248)
Review on Image Enhancement for Low SNR and Low-Light Scenes [PDF]
Jisuanji kexue yu tansuoIn 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
FEBS Letters, EarlyView.This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee +2 more
wiley +1 more source
NDELS: A Novel Approach for Nighttime Dehazing, Low-Light Enhancement, and Light Suppression [PDF]
, 2023 This paper tackles the intricate challenge of improving the quality of nighttime images under hazy and low-light conditions. Overcoming issues including nonuniform illumination glows, texture blurring, glow effects, color distortion, noise disturbance ...
Bernabel, Silvano A., Agaian, Sos S.
core
PIE: Physics-Inspired Low-Light Enhancement
International Journal of Computer VisionarXiv admin note: text overlap with arXiv:2112 ...
Dong Liang 0008 +4 more
openaire +3 more sources
Emerging experimental and computational methods for studying redox‐regulated structural transitions
FEBS Letters, EarlyView.Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
A Dual-Branch Autoencoder Network for Underwater Low-Light Polarized Image Enhancement
Remote SensingUnderwater detection faces uncomfortable illumination conditions, and traditional optical images sensitive to intensity often cannot work well in these conditions.
Chang Xue +4 more
doaj +1 more source
FEBS Letters, EarlyView.How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source
LLE-NET: A Low-Light Image Enhancement Algorithm Based on Curve Estimation
MathematicsLow-light image enhancement is very significant for vision tasks. We introduce Low-light Image Enhancement via Deep Learning Network (LLE-NET), which employs a deep network to estimate curve parameters.
Xiujie Cao, Jingjun Yu
doaj +1 more source
Low-Light Image Enhancement Based on Nonsubsampled Shearlet Transform
IEEE Access, 2020 To improve the observability of low-light images, a low-light image enhancement algorithm based on nonsubsampled shearlet transform (NSST) is presented (LIEST). The proposed algorithm can synchronously achieve contrast improvement, noise suppression, and
Manli Wang +4 more
doaj +1 more source
CUI-Net: a correcting uneven illumination net for low-light image enhancement
Scientific Reports, 2023 Uneven lighting conditions often occur during real-life photography, such as images taken at night that may have both low-light dark areas and high-light overexposed areas. Traditional algorithms for enhancing low-light areas also increase the brightness
Ke Chao +5 more
doaj +1 more source