Trepo - Selaus tekijän mukaan "Azzari, Lucio"
Viitteet 1-18 / 18
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Bearing steels with grinding burns studied by Barkhausen noise and advanced microscopy techniques – Role of carbides stability in steel performance
(13.04.2025)
articleMagnetic Barkhausen noise (MBN) signal is very sensitive to microstructure and stresses of the sample. However, many details of the link between microstructure and MBN signal still remain to be understood. Here, advanced ... -
Collaborative filtering based on group coordinates for smoothing and directional sharpening
(04.08.2015)
conference<p>Groups of mutually similar image blocks are the key element in nonlocal image processing. In this work, the spatial coordinates of grouped blocks are leveraged in two distinct parts of the transform-domain ... -
Collaborative Filtering of Correlated Noise: Exact Transform-Domain Variance for Improved Shrinkage and Patch Matching
(2020)
articleCollaborative filters perform denoising through transform-domain shrinkage of a group of similar patches extracted from an image. Existing collaborative filters of stationary correlated noise have all used simple approximations ... -
Exact Transform-Domain Noise Variance for Collaborative Filtering of Stationary Correlated Noise
IEEE International Conference on Image Processing (09 / 2019)
conferenceCollaborative filters perform denoising through transform-domain shrinkage of a group of similar blocks extracted from an image. Existing methods for collaborative filtering of stationary correlated noise have all used ... -
Iterative Immunostaining and NEDD Denoising for Improved Signal-To-Noise Ratio in ExM-LSCM
(20.09.2024)
articleExpansion microscopy (ExM) has significantly reformed the field of super-resolution imaging, emerging as a powerful tool for visualizing complex cellular structures with nanoscale precision. Despite its capabilities, the ... -
Iterative immunostaining combined with expansion microscopy and image processing reveals nanoscopic network organization of nuclear lamina
(08 / 2023)
articleInvestigation of nuclear lamina architecture relies on super-resolved microscopy. However, epitope accessibility, labeling density, and detection precision of individual molecules pose challenges within the molecularly ... -
Magnetic behavior of steel studied by in-situ Lorentz microscopy, magnetic force microscopy and micromagnetic simulations
(2024)
abstractBackground <br/>Many industrially relevant steels are ferromagnetic such as ferritic-pearlitic steel characterized in this study. Ferritic-pearlitic steels are commonly used, for example, in automotive components. ... -
Magnetic behavior of steel studied by in-situ Lorentz microscopy, magnetic force microscopy and micromagnetic simulations
(2024)
abstractBackground <br/>Many industrially relevant steels are ferromagnetic such as ferritic-pearlitic steel characterized in this study. Ferritic-pearlitic steels are commonly used, for example, in automotive components. ... -
Magnetic behavior of steel studied by in-situ Lorentz microscopy, magnetic force microscopy and micromagnetic simulations
(2024)
abstractBackground Many industrially relevant steels are ferromagnetic such as ferritic-pearlitic steel characterized in this study. Ferritic-pearlitic steels are commonly used, for example, in automotive components. Microstructural ... -
Magnetic behavior of steel studied by in-situ Lorentz microscopy, magnetic force microscopy and micromagnetic simulations
(2024)
abstractBackground Many industrially relevant steels are ferromagnetic such as ferritic-pearlitic steel characterized in this study. Ferritic-pearlitic steels are commonly used, for example, in automotive components. Microstructural ... -
Magnetic domain wall dynamics studied by in-situ lorentz microscopy with aid of custom-made Hall-effect sensor holder
(26.08.2024)
articleWe built a custom-made holder with a Hall-effect sensor to measure the single point magnetic flux density inside a transmission electron microscope (TEM, JEM-F200, JEOL). The measurement point is at the same place as the ... -
Modeling and estimation of signal-dependent and correlated noise
Advances in Computer Vision and Pattern Recognition (2018)
chapter<p>The additive white Gaussian noise (AWGN) model is ubiquitous in signal processing. This model is often justified by central-limit theorem (CLT) arguments. However, whereas the CLT may support a Gaussian distribution ... -
Models and Methods for Estimation and Filtering of Signal-Dependent Noise in Imaging
Tampere University of Technology. Publication : 1429 (Tampere University of Technology, 2016)
ArtikkeliväitöskirjaThe work presented in this thesis focuses on Image Processing, that is the branch of Signal Processing that centers its interest on images, sequences of images, and videos. It has various applications: imaging for traditional ... -
Models and Methods for Estimation and Filtering of Signal-Dependent Noise in Imaging
Tampere University of Technology. Publication (11.11.2016)
docThe work presented in this thesis focuses on Image Processing, that is the branch of Signal Processing that centers its interest on images, sequences of images, and videos. It has various applications: imaging for traditional ... -
Multi-instrumental approach to domain walls and their movement in ferromagnetic steels – Origin of Barkhausen noise studied by microscopy techniques
(10 / 2023)
articleTwo steels, ferrite and ferrite-pearlite were thoroughly characterized by a multi-instrumental microscopy techniques to get detailed information about their microstructure and magnetic structure. Microstructural features ... -
Restoration of low-dose digital breast tomosynthesis
(19.04.2018)
article<p>In breast cancer screening, the radiation dose must be kept to the minimum necessary to achieve the desired diagnostic objective, thus minimizing risks associated with cancer induction. However, decreasing the ... -
Variance Stabilization for Noisy+Estimate Combination in Iterative Poisson Denoising
(01.08.2016)
article<p>We denoise Poisson images with an iterative algorithm that progressively improves the effectiveness of variance-stabilizing transformations (VST) for Gaussian denoising filters. At each iteration, a combination ... -
Variance stabilization in Poisson image deblurring
(15.06.2017)
conference<p>We consider the restoration of blurred images corrupted by Poisson noise using variance-stabilizing transformations (VST). Although VST are an established tool used extensively for denoising, their adoption in ...
