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Exact results on Poisson noise, Poisson flights, and Poisson fluctuations
(American Institute of Physics, 2021-06)
We study non-Markovian stochastic differential equations with additive noise characterized by a Poisson point process with arbitrary pulse shapes and exponentially distributed intensities. Specifically, analytic results ...
Redução de ruído Poisson com o algoritmo BM3D utilizando distâncias estocásticas
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2021-06-02)
Noise is a problem constantly present in digital images incoming from multiple sources, being important to study noise filters to improve the quality of images. When dealing with radiographic images, Poisson noise is an ...
Abordagens não-locais para filtragem de ruído Poisson
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2014-05-23)
A common problem to applications such as positron emission tomography, low-exposure X-ray imaging, fluorescence microscopy, optical and infrared astronomy, and others, is the degradation of the original signal by Poisson ...
Evaluation of denoising digital breast tomosynthesis data in both projection and image domains and a study of noise model on digital breast tomosynthesis image domain
(2019-07-01)
Digital breast tomosynthesis (DBT) is an imaging technique created to visualize 3-D mammary structures for the purpose of diagnosing breast cancer. This imaging technique is based on the principle of computed tomography. ...
Algoritmos para a redução de ruído Poisson e estimativa de parâmetros utilizando distâncias estocásticas
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2018-06-14)
Noise is present in all applications of digital imaging. Due to its stochastic nature, it is impossible to determine exact procedures to completely remove noise from the image. Thus, the target signal may be affected during ...
A new bayesian Poisson denoising algorithm based on nonlocal means and stochastic distances
(2022-02-01)
Poisson noise is the main cause of degradation of many imaging modalities. However, many of the proposed methods for reducing noise in images lack a formal approach. Our work develops a new, general, formal and computationally ...
Description and use of Three-Dimensional Numerical Phantoms of Cardiac Computed Tomography Images
(MDPI, 2022)
The World Health Organization indicates the top cause of death is heart disease. These diseases can be detected using several imaging modalities, especially cardiac computed tomography (CT), whose images have imperfections ...
Investigating poisson noise filtering in Digital Breast Tomosynthesis
(Universidade Federal Fluminense (UFF)Rio de Janeiro, 2013)
Digital Breast Tomosynthesis (DBT) is a potential
candidate to substitute digital mammography in breast cancer
screening. In DBT, projection images are acquired with low
levels of radiation, which significantly increases ...
Filtragem de sinograma tomográfico afetado por ruído Poisson utilizando wavelets anisotrópicas
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2017-02-07)
The diagnostic imaging by computed tomography has become popular in recent decades. As the image acquisition method is effected by exposing the human body to X-ray dose (ionizing radiation), the frequent realization of ...
Numerical simulations using Eulerian schemes for the Vlasov-Poisson model
(World Scientific, 2021-11)
The Vlasov equation describes the temporal evolution of the distribution function of particles in a collisionless plasma and, if magnetic fields are negligible, the mean electric field is prescribed by Poisson equation. ...