A criterion for automatic image deconvolution with L0‐norm regularization
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Chemometrics"
DOI: 10.1002/cem.3227
Abstract: Automatic penalty adjustment in sparse deconvolution with penalized least squares is required for improved reliability and broader applicability. In sparse deconvolution with an L0‐norm penalty, the latent signal is by nature discontinuous, and the magnitudes… read more here.
Keywords: criterion automatic; deconvolution norm; penalty; deconvolution ... See more keywords
Statistical properties of cerebral CT perfusion imaging systems. Part II. Deconvolution-based systems.
Sign Up to like & getrecommendations! Published in 2019 at "Medical physics"
DOI: 10.1002/mp.13805
Abstract: PURPOSE The purpose of this work was to develop a theoretical framework to pinpoint the quantitative relationship between input parameters of deconvolution-based cerebral perfusion (CTP) imaging systems and statistical properties of the output perfusion maps.… read more here.
Keywords: deconvolution based; perfusion; cbv; noise ... See more keywords
Application of a new spectral deconvolution method for in vitro dosimetry in assessment of targeted alpha therapy.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16279
Abstract: BACKGROUND The improvement of in vitro assessment of targeted alpha therapy (reproducibility, comparability of experiments…) requires precise evaluation of the dose delivered to the cells. To answer this need, a previous study proposed an innovative… read more here.
Keywords: alpha therapy; deconvolution; targeted alpha; deconvolution method ... See more keywords
Orthogonal Least Absolute Value for Sparse Spike Deconvolution
Sign Up to like & getrecommendations! Published in 2021 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-021-01667-z
Abstract: Several phenomena encountered in nature are characterized by very localized events occurring randomly at given times. Random pulses are an appropriate modelling tool for such events. Usually, the impulses are hidden in the noise due… read more here.
Keywords: orthogonal least; least absolute; deconvolution; absolute value ... See more keywords
High quality image-pair-based deblurring method using edge mask and improved residual deconvolution
Sign Up to like & getrecommendations! Published in 2017 at "Optical Review"
DOI: 10.1007/s10043-017-0306-2
Abstract: Image deconvolution problem is a challenging task in the field of image process. Using image pairs could be helpful to provide a better restored image compared with the deblurring method from a single blurred image.… read more here.
Keywords: residual deconvolution; image; deblurring method; image pair ... See more keywords
Fine-grained visual explanations for the convolutional neural network via class discriminative deconvolution
Sign Up to like & getrecommendations! Published in 2022 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-021-11464-0
Abstract: Deep convolution neural networks have been widely studied and applied in many computer vision tasks. However, they are commonly treated as black-boxes and plagued by the inexplicability. In this paper, we propose a novel method… read more here.
Keywords: class; deconvolution; class discriminative; convolutional neural ... See more keywords
A Robust-to-Noise Deconvolution Algorithm to Enhance Displacement and Strain Maps Obtained with Local DIC and LSA
Sign Up to like & getrecommendations! Published in 2018 at "Experimental Mechanics"
DOI: 10.1007/s11340-018-00461-4
Abstract: Digital Image Correlation (DIC) and Localized Spectrum Analysis (LSA) are two techniques available to extract displacement fields from images of deformed surfaces marked with contrasted patterns. Both techniques consist in minimizing the optical residual. DIC… read more here.
Keywords: strain maps; displacement; displacement strain; local dic ... See more keywords
Sparsity maximization nonlinear blind deconvolution and its application in identification of satellite microvibration sources
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Mechanical Science and Technology"
DOI: 10.1007/s12206-019-1206-0
Abstract: In this study, sparsity maximization nonlinear blind deconvolution (NBD) is proposed to identify the vibration sources of satellite systems from mixed vibration signals. The proposed algorithm decomposes NBD into two independent stages, namely, nonlinear compensation… read more here.
Keywords: sparsity maximization; maximization nonlinear; blind deconvolution; deconvolution ... See more keywords
Adaptive Operator-Based Spectral Deconvolution With the Levenberg-Marquardt Algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Photonic Sensors"
DOI: 10.1007/s13320-019-0571-8
Abstract: Spectral distortion often occurs in spectral data due to the influence of the bandpass function of the spectrometer. Spectral deconvolution is an effective restoration method to solve this problem. Based on the theory of the… read more here.
Keywords: levenberg marquardt; spectral deconvolution; method; adaptive operator ... See more keywords
MetaUniDec: High-Throughput Deconvolution of Native Mass Spectra
Sign Up to like & getrecommendations! Published in 2018 at "Journal of The American Society for Mass Spectrometry"
DOI: 10.1007/s13361-018-1951-9
Abstract: AbstractThe expansion of native mass spectrometry (MS) methods for both academic and industrial applications has created a substantial need for analysis of large native MS datasets. Existing software tools are poorly suited for high-throughput deconvolution… read more here.
Keywords: native mass; metaunidec; mass; deconvolution ... See more keywords
High-resolution and low-sidelobe forward-look sonar imaging using deconvolution
Sign Up to like & getrecommendations! Published in 2021 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2021.107986
Abstract: Abstract For the two-dimensional forward-look sonar imaging, the conventional beamformer (CBF) and the matched filter (MF) are often used due to the simplicity and robustness. However, the angular and range resolutions are limited and the… read more here.
Keywords: high resolution; resolution low; look sonar; sonar imaging ... See more keywords