Wyniki wyszukiwania dla: low-latency video denoising, real-time, poisson-gaussian noise, gaussian noise

• Global Optimization for Recovery of Clipped Signals Corrupted With Poisson-Gaussian Noise

  Publikacja

  • A. Marmin
  • A. Jezierska
  • M. Castella
  • J. Pesquet

  - IEEE SIGNAL PROCESSING LETTERS - Rok 2020

  We study a variational formulation for reconstructing nonlinearly distorted signals corrupted with a Poisson-Gaussian noise. In this situation, the data fidelity term consists of a sum of a weighted least squares term and a logarithmic one. Both of them are precomposed by a nonlinearity, modelling a clipping effect, which is assumed to be rational. A regularization term, being a piecewise rational approximation of the ℓ0 function...

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• BP-EVD: Forward Block-Output Propagation for Efficient Video Denoising

  Publikacja

  • P. Kopa Ostrowski
  • E. Katsaros
  • D. Węsierski
  • A. Jezierska

  - IEEE TRANSACTIONS ON IMAGE PROCESSING - Rok 2022

  Denoising videos in real-time is critical in many applications, including robotics and medicine, where varying light conditions, miniaturized sensors, and optics can substantially compromise image quality. This work proposes the first video denoising method based on a deep neural network that achieves state-of-the-art performance on dynamic scenes while running in real-time on VGA video resolution with no frame latency. The backbone...

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• Wavelet-based denoising method for real phonocardiography signal recorded by mobile devices in noisy environment

  Publikacja

  • D. Gradolewski
  • G. Redlarski

  - COMPUTERS IN BIOLOGY AND MEDICINE - Rok 2014

  The main obstacle in development of intelligent autodiagnosis medical systems based on the analysis of phonocardiography (PCG) signals is noise. The noise can be caused by digestive and respiration sounds, movements or even signals from the surrounding environment and it is characterized by wide frequency and intensity spectrum. This spectrum overlaps the heart tones spectrum, which makes the problem of PCG signal filtrating complex....

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• Assessment of particular abdominal aorta section extraction from contrast-enhanced computed tomography angiography

  Publikacja

  • T. Dziubich
  • A. Skrzynecki
  • M. Perdeusz

  - Rok 2021

  The aim of this work is to improve the accuracy of extraction of a particular abdominal aorta section and to reduce the distortion in three-dimensional Computed Tomography Angiography (CTA) images. Imaging modality and quality plays crucial role in the medical diagnostic process, thus ensuring high quality of images is essential at every stage of acquisition and processing.Noise is defined as a disturbance of the image quality...

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• A method of RTS noise identification in noise signals of semiconductor devices in the time domain

  Publikacja

  • B. Stawarz-Graczyk
  • D. Dokupil
  • P. Flisikowski

  - Metrology and Measurement Systems - Rok 2010

  In the paper a new method of Random Telegraph Signal (RTS) noise identification is presented. The method is based on a standardized histogram of instantaneous noise values and processing by Gram-Charlier series. To find a device generating RTS noise by the presented method one should count the number of significant coefficients of the Gram-Charlier series. This would allow to recognize the type of noise. There is always one (first)...

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• Identification of Optocoupler Devices with RTS Noise

  Publikacja

  • A. Konczakowska
  • J. A. Cichosz
  • A. Szewczyk
  • B. Stawarz-Graczyk

  - FLUCTUATION AND NOISE LETTERS - Rok 2006

  The results of noise measurements in low frequency range for CNY 17 type optocouplers are presented. The research were carried out on devices with different values of Current Transfer Ratio (CTR). The methods for identification of Random Telegraph Signal (RTS) in noise signal of optocouplers were proposed. It was found that the Noise Scattering Pattern method (NSP method) enables to identify RTS noise as non-Gaussian component...

• Parallel implementation of background subtraction algorithms for real-time video processing on a supercomputer platform

  Publikacja

  • G. Szwoch
  • D. Ellwart
  • A. Czyżewski

  - Journal of Real-Time Image Processing - Rok 2016

  Results of evaluation of the background subtraction algorithms implemented on a supercomputer platform in a parallel manner are presented in the paper. The aim of the work is to chose an algorithm, a number of threads and a task scheduling method, that together provide satisfactory accuracy and efficiency of a real-time processing of high resolution camera images, maintaining the cost of resources usage at a reasonable level. Two...

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• Moments of Hermite-Gaussian functionals

  Publikacja

  • M. Beśka
  • M. Gałka

  - Applicationes Mathematicae - Rok 2020

  Moments of finite products of Hermite-Gaussian functionals are expressed by covariances of Gaussian sequence.

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• The Methods for RTS Noise Identification

  Publikacja

  • A. Konczakowska
  • B. Stawarz-Graczyk

  - Rok 2009

  In the paper authors present two methods, which allows to identify the RTS noise in noise signal of semiconductor devices. The first one was elaborated to identify the RTS noise and also to estimate the number of its levels. The second one can be used to estimate all of the parameters of Gaussian and non-Gaussian components in the noise signal in a frequency domain.

• Higher-order spectra for harmonics detection in nonlinear systems at presence of Gaussian noise.

  Publikacja

  • J. Smulko

  - Rok 2005

  Przedstawiono metodę wykrywania harmonicznych w ukladach nieliniowych za pomocą funkcji bispektrum. Przebadano skuteczność proponowanej metody w porównaniu z metodą wykorzystującą gęstość widmową mocy. Badania przeprowadzono dla sygnałów będących sumą sygnału harmonicznego i realizacji szumu białego.