Results 61 to 70 of about 12,335,378 (248)
Low-Light Image Enhancement by Principal Component Analysis
IEEE Access, 2019 Under extreme low-lighting conditions, images have low contrast, low brightness, and high noise. In this paper, we propose a principal component analysis framework to enhance low-light-level images with decomposed luminance–chrominance components.
Steffi Agino Priyanka +2 more
doaj +1 more source
A survey on image enhancement for Low-light images
Heliyon, 2023 In real scenes, due to the problems of low light and unsuitable views, the images often exhibit a variety of degradations, such as low contrast, color distortion, and noise. These degradations affect not only visual effects but also computer vision tasks. This paper focuses on the combination of traditional algorithms and machine learning algorithms in
Jiawei Guo +4 more
openaire +3 more sources
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
Deep Enhancement-Object Features Fusion for Low-Light Object Detection
, 2022 With the robust development of deep learning, object detection has gained much attention for practical use cases such as in autonomous driving and surveillance. However, the task is still challenging to the state-of-the-arts in low-light.
Ang, Kelvin +2 more
core +1 more source
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 +2 more
wiley +1 more source
Unsupervised Low Light Image Enhancement Using SNR-Aware Swin Transformer [PDF]
, 2023 Image captured under low-light conditions presents unpleasing artifacts, which debilitate the performance of feature extraction for many upstream visual tasks.
Tang, Jiahui +4 more
core +1 more source
Joint transformer progressive self‐calibration network for low light enhancement
IET Image Processing, 2023 When the lighting conditions are poor and the environmental light is weak, the image captured by the imaging device often has lower brightness and is accompanied by a lot of noise.
Junyu Fan +3 more
doaj +1 more source
Binarized Low-Light Raw Video Enhancement
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Recently, deep neural networks have achieved excellent performance on low-light raw video enhancement. However, they often come with high computational complexity and large memory costs, which hinder their applications on resource-limited devices. In this paper, we explore the feasibility of applying the extremely compact binary neural network (BNN) to
Gengchen Zhang +3 more
openaire +4 more sources
The microbiome in human skin aging
FEBS Letters, EarlyView.Age‐related skin changes encompass the well‐known visible phenotypic alterations, together with microbiome dysbiosis and a series of molecular aging hallmarks. These hallmarks characterize not only a fully stablished aged phenotype but also the skin aging process itself.
Manuel Huerta Arana +3 more
wiley +1 more source
Enhancement and Noise Suppression of Single Low-Light Grayscale Images
, 2022 Low-light images have low contrast and high noise, making them not easily readable. Most existing image-enhancement methods focus on color images. In the present study, an enhancement and denoising algorithm for single low-light grayscale images is ...
Hongxing Liu +7 more
core +1 more source