Domain Adaptive Denoising Network for Low-Dose CT via Noise Estimation and Transfer Learning.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15952
Abstract: BACKGROUND In recent years, low-dose computed tomography (LDCT) has played an important role in the diagnosis CT to reduce the potential adverse effects of x-ray radiation on patients, while maintaining the same diagnostic image quality.… read more here.
Keywords: network; noise; noise estimation; network model ... See more keywords
Multilevel Monte Carlo for noise estimation in stochastic multiscale systems
Sign Up to like & getrecommendations! Published in 2018 at "Chemical Engineering Research and Design"
DOI: 10.1016/j.cherd.2018.10.006
Abstract: Abstract The purpose of this study is to adapt Multilevel Monte Carlo (MLMC) sampling technique for random noise estimation in stochastic multiscale systems and evaluate the performance of this method. The system under consideration was… read more here.
Keywords: noise estimation; monte carlo; stochastic multiscale; estimation stochastic ... See more keywords
Enhanced residual noise estimation of low rank approximation for image denoising
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.02.063
Abstract: Abstract Recently, the application of rank minimization to image denoising has shown remarkable denoising results. However, due to iterative nature of low rank optimization, the estimation of noise for next iteration is an essential requirement… read more here.
Keywords: noise estimation; image; residual noise; noise ... See more keywords
Blind noise estimation and denoising filter for recovery of microquake signals
Sign Up to like & getrecommendations! Published in 2019 at "Exploration Geophysics"
DOI: 10.1080/08123985.2019.1624479
Abstract: ABSTRACT In this study, a data-driven linear filtering method is proposed to recover microseismic signals from noisy data/observations. The proposed method is based on the statistics of the background noise and the observation, which are… read more here.
Keywords: noise estimation; microquake; method; proposed method ... See more keywords
Insight on the utilization of the noise estimation techniques in phase aware modified multiband spectral subtraction
Sign Up to like & getrecommendations! Published in 2019 at "Australian Journal of Electrical and Electronics Engineering"
DOI: 10.1080/1448837x.2019.1651137
Abstract: ABSTRACT The standard technique of all Spectral Subtraction algorithms that are used for Speech Enhancement (SE) is to find out the clean speech by subtracting the noise estimate from the noisy speech spectrum. So the… read more here.
Keywords: noise estimation; noise; spectral subtraction; phase aware ... See more keywords
Erratum: Ultimate Precision of Adaptive Noise Estimation [Phys. Rev. Lett. 118, 100502 (2017)].
Sign Up to like & getrecommendations! Published in 2017 at "Physical review letters"
DOI: 10.1103/physrevlett.119.129901
Abstract: This corrects the article DOI: 10.1103/PhysRevLett.118.100502. read more here.
Keywords: noise estimation; adaptive noise; erratum ultimate; ultimate precision ... See more keywords
Adaptive Subspace Method for Phase Noise Estimation in CO-OFDM Systems
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DOI: 10.1109/access.2018.2868718
Abstract: In this paper, a blind phase noise estimation method for a coherent optical orthogonal frequency-division multiplexing (CO-OFDM) system is considered. Based on the subspace approach, a simple and robust method is proposed to adaptively estimate… read more here.
Keywords: noise estimation; ofdm systems; subspace; noise ... See more keywords
Per-Pixel Noise Estimation in Hyperspectral Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3064998
Abstract: Modeling of the underlying noise in a hyperspectral image reveals important information about the characteristics of the hyperspectral sensor and the image itself. While the focus in the literature has mostly been on the estimation… read more here.
Keywords: noise estimation; noise; pixel noise; pixel ... See more keywords
Comparative Study on Noise-Estimation-Based Fuzzy C-Means Clustering for Image Segmentation.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3217897
Abstract: Since a noisy image has inferior characteristics, the direct use of Fuzzy C-Means (FCM) to segment it often produces poor image segmentation results. Intuitively, using its ideal value (noise-free image) benefits FCM's robustness enhancement. Therefore,… read more here.
Keywords: noise estimation; noise; image segmentation; image ... See more keywords
Image Denoising Algorithm Combined with SGK Dictionary Learning and Principal Component Analysis Noise Estimation
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/1259703
Abstract: SGK (sequential generalization of -means) dictionary learning denoising algorithm has the characteristics of fast denoising speed and excellent denoising performance. However, the noise standard deviation must be known in advance when using SGK algorithm to… read more here.
Keywords: noise estimation; sgk algorithm; dictionary learning; denoising algorithm ... See more keywords
Noise Reduction based on Multiple Copies Color Image Noise Estimation
Sign Up to like & getrecommendations! Published in 2019 at "International Journal on Electrical Engineering and Informatics"
DOI: 10.15676/ijeei.2019.11.3.5
Abstract: Nowadays, transmission in the form of color digital images is becoming a major method of communication. However, color digital images are often degraded by noise generated by sensors and during transmission channels. The aim of… read more here.
Keywords: color; image; noise estimation; noise reduction ... See more keywords