Results 51 to 60 of about 116,500 (328)
Complex Discrete Wavelet Transform-Based Image Denoising [PDF]
Engineering and Technology Journal, 2011 Dual tree complex discrete wavelet transform is implemented for denoising as an important image processing application. Two wavelet trees are used, one generating the real part of the wavelet coefficients tree and the other generating the imaginary part ...
Hadeel N. Abdullah +2 more
doaj +1 more source
Data-Driven Tight Frame for Cryo-EM Image Denoising and Conformational Classification
, 2018 The cryo-electron microscope (cryo-EM) is increasingly popular these years. It helps to uncover the biological structures and functions of macromolecules. In this paper, we address image denoising problem in cryo-EM. Denoising the cryo-EM images can help
Cai, Jian-Feng +6 more
core +1 more source
Next‐Generation Bio‐Reducible Lipids Enable Enhanced Vaccine Efficacy in Malaria and Primate Models
Advanced Functional Materials, EarlyView.Structure–activity relationship (SAR) optimization of bio‐reducible ionizable lipids enables the development of highly effective lipid nanoparticle (LNP) mRNA vaccines. Lead LNPs show superior tolerability and antibody responses in rodents and primates, outperforming approved COVID‐19 vaccine lipids.
Ruben De Coen +30 more
wiley +1 more source
Multi-Scale Feature Learning Convolutional Neural Network for Image Denoising
Sensors, 2023 Affected by the hardware conditions and environment of imaging, images generally have serious noise. The presence of noise diminishes the image quality and compromises its effectiveness in real-world applications.
Shuo Zhang +4 more
doaj +1 more source
Advanced Functional Materials, EarlyView.This review summarizes recent advances in closed‐cell in situ TEM strategies for accurate determination of the activity and stability of single‐atom catalyst systems during operation. Operando conditions causing dynamic changes of SAC systems are highlighted and we explain why ensemble average‐based optical techniques may benefit from the technological
Martin Ek +4 more
wiley +1 more source
Graph Laplacian Regularization for Image Denoising: Analysis in the Continuous Domain
, 2017 Inverse imaging problems are inherently under-determined, and hence it is important to employ appropriate image priors for regularization. One recent popular prior---the graph Laplacian regularizer---assumes that the target pixel patch is smooth with ...
Cheung, Gene, Pang, Jiahao
core +2 more sources
Advanced Functional Materials, EarlyView.Heterogeniety in electrochemical systems heavily influences device performance and durability. The study shows unique evidence of spatio‐operational heterogeneity in fuel cells via operando neutron and X‐ray tomography. Large variations in membrane thickness and hydration depend upon location and operating conditions, with implications on membrane ...
Pranay Shrestha +9 more
wiley +1 more source
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach
, 2018 Conventionally, image denoising and high-level vision tasks are handled separately in computer vision. In this paper, we cope with the two jointly and explore the mutual influence between them.
Huang, Thomas S. +4 more
core +1 more source
Image denoising: pointwise adaptive approach [PDF]
The Annals of Statistics, 2003 The paper is concerned with the problem of image denoising. We consider the case of black-white type images consisting of a finite number of regions with smooth boundaries and the image value is assumed to be piecewise constant within each region. New method of image denoising is proposed which is adaptive (assumption free) to the number of regions and
Jörg Polzehl, Vladimir Spokoiny
openaire +5 more sources