Blind Deconvolution Based on Correlation Spectral Negentropy for Bearing Fault [PDF]
Entropy, 2023 Blind deconvolution is a method that can effectively improve the fault characteristics of rolling bearings. However, the existing blind deconvolution methods have shortcomings in practical applications.
Tian Tian +3 more
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Sparse Blind Deconvolution with Nonconvex Optimization for Ultrasonic NDT Application [PDF]
Sensors, 2020 In the field of ultrasonic nondestructive testing (NDT), robust and accurate detection of defects is a challenging task because of the attenuation and noising of the ultrasonic wave from the structure.
Xuyang Gao +4 more
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Iterative-Trained Semi-Blind Deconvolution Algorithm to Compensate Straylight in Retinal Images [PDF]
Journal of Imaging, 2021 The optical quality of an image depends on both the optical properties of the imaging system and the physical properties of the medium in which the light travels from the object to the final imaging sensor.
Francisco J. Ávila +4 more
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Adaptive blind deconvolution decomposition and its application in composite fault diagnosis of rolling bearings [PDF]
Scientific ReportsThe detection of rolling bearing faults is essential to ensure the operational safety of rotating machinery. An effective method for diagnosing rolling bearing faults is the maximum second-order cyclostationarity blind deconvolution (CYCBD) method, which
Wei Dong +3 more
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Blind Deconvolution for Ultrasound Sequences Using a Noninverse Greedy Algorithm [PDF]
International Journal of Biomedical Imaging, 2013 The blind deconvolution of ultrasound sequences in medical ultrasound technique is still a major problem despite the efforts made. This paper presents a blind noninverse deconvolution algorithm to eliminate the blurring effect, using the envelope of the ...
Liviu-Teodor Chira +3 more
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Fault Diagnosis of Rotating Machinery Using an Optimal Blind Deconvolution Method and Hybrid Invertible Neural Network [PDF]
SensorsThis paper proposes a novel approach to predicting the useful life of rotating machinery and making fault diagnoses using an optimal blind deconvolution and hybrid invertible neural network.
Yangde Gao, Zahoor Ahmad, Jong-Myon Kim
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Spherical Aberration and Scattering Compensation in Microscopy Images through a Blind Deconvolution Method [PDF]
Journal of ImagingThe optical quality of an image depends on both the optical properties of the imaging system and the physical properties of the medium the light passes while travelling from the object to the image plane. The computation of the point spread function (PSF)
Francisco J. Ávila, Juan M. Bueno
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Non-parametric PSF estimation from celestial transit solar images using blind deconvolution [PDF]
Journal of Space Weather and Space Climate, 2016 Context: Characterization of instrumental effects in astronomical imaging is important in order to extract accurate physical information from the observations.
González Adriana +2 more
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Fast Measurements with MOX Sensors: A Least-Squares Approach to Blind Deconvolution [PDF]
Sensors, 2019 Metal oxide (MOX) sensors are widely used for chemical sensing due to their low cost, miniaturization, low power consumption and durability. Yet, getting instantaneous measurements of fluctuating gas concentration in turbulent plumes is not possible due ...
Dominique Martinez +2 more
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Subspace-based non-blind deconvolution
Mathematical Biosciences and Engineering, 2019 In this paper, we develop a novel subspace-based recovery algorithm for non-blind deconvolution (named SND). With considering visual importance difference between image structures and smoothing areas, we propose subspace data fidelity for protecting ...
Peixian Zhuang +2 more
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