Results 61 to 70 of about 12,727,972 (298)

Joint transformer progressive self‐calibration network for low light enhancement

open access: yesIET 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

Structure‐forward targeting of claudins with synthetic binders

open access: yesFEBS 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

Binarized Low-Light Raw Video Enhancement

open access: yes2024 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

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

open access: yesJisuanji 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

Deep Enhancement-Object Features Fusion for Low-Light Object Detection

open access: yes, 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

open access: yesFEBS 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]

open access: yes, 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

Retinex-Based Fast Algorithm for Low-Light Image Enhancement

open access: yesEntropy, 2021
We proposed the Retinex-based fast algorithm (RBFA) to achieve low-light image enhancement in this paper, which can restore information that is covered by low illuminance. The proposed algorithm consists of the following parts.
Shouxin Liu   +4 more
doaj   +1 more source

The microbiome in human skin aging

open access: yesFEBS 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

A Dual-Branch Autoencoder Network for Underwater Low-Light Polarized Image Enhancement

open access: yesRemote Sensing
Underwater 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

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