Results 51 to 60 of about 11,782,843 (259)
, 2023 Denoising - New Insights provides a comprehensive overview of signal and image denoising techniques. It also examines and compares the performance of several innovative denoising approaches involving the use of mathematical tools such as wavelets, deep ...
core +1 more source
Evaluating the effect of γ‐oryzanol on MASLD pathology using a medaka fish model
FEBS Open Bio, EarlyView.This study explores a liver disease called MASLD, which is increasing worldwide and can lead to serious damage. Researchers used medaka fish instead of rodents to test a food compound, γ‐oryzanol. Fish fed this compound had less liver fat and healthier gut bacteria.
Yukako Ito +7 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
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
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
Image volume denoising using a Fourier-wavelet basis [PDF]
, 2003 A novel approach to the removal of noise from threedimensional image data is described. The image sequence is represented using a non-adaptive wavelet basis, carefully chosen for its ability to compactly represent locally planar surfaces.
Wilson, Roland +3 more
core
Advanced Functional Materials, EarlyView.Here, we establish a low‐dose liquid‐phase electron microscopy workflow for real‐time observation of biological processes in hydrated conditions. Beam damage is reduced by imaging only 20% of the pixels and reconstructing the complete image using an inpainting algorithm.
Luco Rutten +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
Quantum Boolean image denoising [PDF]
Quantum Information Processing, 2014 A quantum Boolean image processing methodology is presented in this work, with special emphasis in image denoising. A new approach for internal image representation is outlined together with two new interfaces: classical-to-quantum and quantum-to-classical.
openaire +2 more sources
Material Coupling in Hybrid Neuromorphic Devices: From Fundamentals to System‐Level Applications
Advanced Functional Materials, EarlyView.Hybrid neuromorphic devices utilize heterointerfaces between emerging semiconductors, where charge transfer and trapping, ion or defect modulation, and photogating are translated into synaptic functions. This paper discusses coupling strategies that tailor interfacial electronic and ionic properties in organic semiconductors, metal oxides, two ...
Minsu So +5 more
wiley +1 more source