Results 61 to 70 of about 116,500 (328)

A Vascular Microphysiological Model of Lung Fibrosis Reveals That Myofibroblasts and IPF Patient‐Derived Fibroblasts Impair Angiogenesis and Vasculogenesis

Advanced Functional Materials, EarlyView.
A microphysiological lung fibrosis model recapitulates myofibroblast–vascular interactions. Induced myofibroblasts and patient‐derived IPF fibroblasts impair angiogenesis and increase vascular permeability via TGF‐β1–driven signaling. Pharmacological interventions with SB 431542 and VEGF supplementation restore vascular morphology and barrier function.
Elena Cambria, Adriana Blazeski, Eunkyung Clare Ko, Tran Thai, Shania Dantes, David A. Barbie, Sarah E. Shelton, Roger D. Kamm   +7 more
wiley   +1 more source

An Improved Combination of Image Denoisers Using Spatial Local Fusion Strategy

IEEE Access, 2020
Image denoising is a well-researched problem in the image processing field. Numerous image denoising algorithms have been proposed in the past. Although researchers have continually focused on improving the denoising algorithm performance regarding ...
Yiwen Liu, Shaoping Xu, Zhenyu Lin
doaj   +1 more source

Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds [PDF]

, 2012
Image denoising can be described as the problem of mapping from a noisy image to a noise-free image. The best currently available denoising methods approximate this mapping with cleverly engineered algorithms.
Burger, Harold Christopher, Harmeling, Stefan, Schuler, Christian J.   +2 more
core  

Deep Graph Laplacian Regularization for Robust Denoising of Real Images

, 2019
Recent developments in deep learning have revolutionized the paradigm of image restoration. However, its applications on real image denoising are still limited, due to its sensitivity to training data and the complex nature of real image noise.
Cheung, Gene, Pang, Jiahao, Sun, Wenxiu, Zeng, Jin   +3 more
core   +1 more source

Multiple Twinning in Nacre and Aragonite

Advanced Functional Materials, EarlyView.
Electron backscatter diffraction map of a cluster of geologic aragonite, exhibiting single, double, and triple twins. The whole cluster is approximately 2 cm wide. Colors indicate crystal orientations, so that pixels where the a‐, b‐, and c‐axis is perpendicular to the image plane are green, red, and blue, respectively.
Connor A. Schmidt, William O. Nachlas, Bil Schneider, Xiaoming Mao, Eric Tambutté, Alexander A. Venn, Sylvie Tambutté, Pupa U. P. A. Gilbert   +7 more
wiley   +1 more source

External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising

, 2018
Most of existing image denoising methods learn image priors from either external data or the noisy image itself to remove noise. However, priors learned from external data may not be adaptive to the image to be denoised, while priors learned from the ...
Xu, Jun, Zhang, David, Zhang, Lei
core   +1 more source

Microneedle‐Based Biofertilizer Delivery Improves Plant Growth Through Microbiome Engineering

Advanced Functional Materials, EarlyView.
This figure shows how microneedles are used to deliver biofertilizers to enhance plant growth through microbial migration, metabolic reprogramming, and changes in plant endogenous microbiome. Abstract This study presents a microneedle‐based system for the delivery of rhizospheric biofertilizers into plant tissues to enhance growth.
Zhicheng Le, Sevugan Mayalagu, Cheng‐Yen Chen, Raktim Bhattacharya, Abhishek Gupta, Jingyuan Li, Zhi Wei Norman Teo, Yufeng Shou, Arya Gopinath MP, Danni Zhong, Tedrick Thomas Salim Lew, Hao Yu, Naweed I. Naqvi, Sanjay Swarup, Andy Tay   +14 more
wiley   +1 more source

Multi-View Image Denoising Using Convolutional Neural Network

Sensors, 2019
In this paper, we propose a novel multi-view image denoising algorithm based on convolutional neural network (MVCNN). Multi-view images are arranged into 3D focus image stacks (3DFIS) according to different disparities.
Shiwei Zhou, Yu-Hen Hu, Hongrui Jiang
doaj   +1 more source

Deep Neural Network for Image Super Resolution Driven by Prior Denoising

Nantong Daxue xuebao. Ziran kexue ban, 2021
In order to improve image super resolution, a double layer convolution neural network in image denoising is embedded in image restoration tasks. The image super resolution method driven by prior denoising with deep neural network is proposed.
CHENG Fanqiang;ZHU Yonggui;, ZHU Yonggui
doaj   +1 more source

Edge-enhancing Filters with Negative Weights

, 2015
In [DOI:10.1109/ICMEW.2014.6890711], a graph-based denoising is performed by projecting the noisy image to a lower dimensional Krylov subspace of the graph Laplacian, constructed using nonnegative weights determined by distances between image data ...
Knyazev, Andrew
core   +1 more source