Results 31 to 40 of about 271,808 (270)
Blind Image Deblurring via Reweighted Graph Total Variation
, 2017 Blind image deblurring, i.e., deblurring without knowledge of the blur kernel, is a highly ill-posed problem. The problem can be solved in two parts: i) estimate a blur kernel from the blurry image, and ii) given estimated blur kernel, de-convolve blurry
Bai, Yuanchao +3 more
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Evaluation of Blur and Gaussian Noise Degradation in Images Using Statistical Model of Natural Scene and Perceptual Image Quality Measure [PDF]
Radioengineering, 2017 In this paper we present new method for classification of image degradation type based on Riesz transform coefficients and Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) that employs spatial coefficients.
A. Bjelopera, E. Dumic, S. Grgic
doaj
A Cut Principle for Information Flow [PDF]
, 2015 We view a distributed system as a graph of active locations with unidirectional channels between them, through which they pass messages. In this context, the graph structure of a system constrains the propagation of information through it.
Guttman, Joshua D., Rowe, Paul D.
core +1 more source
A New Full-Reference Image Quality Metric for Motion Blur Profile Characterization
IEEE Access, 2021 Motion blur is common in images captured by handheld devices, arising from hand, device and/or object motion. To restore sharp images from the images degraded by the motion, it is extremely important to assess the quality of the captured image and its ...
Mohammad Abdullah-Al-Mamun +2 more
doaj +1 more source
Nonparametric estimation of a point-spread function in multivariate problems
, 2007 The removal of blur from a signal, in the presence of noise, is readily accomplished if the blur can be described in precise mathematical terms. However, there is growing interest in problems where the extent of blur is known only approximately, for ...
Hall, Peter, Qiu, Peihua
core +3 more sources
Image Enhancement Techniques for Images at Blur Motion and Different Noises [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2019 Image restoration is an art to improve image quality by disposing of reducing the amount of noise and blurring present in the image. So it is one of the research titles of interest to the researchers.
Sahlah Ali
doaj +1 more source
Известия высших учебных заведений. Поволжский регион:Технические науки, 2023 Background. The necessity of creating diagnostic systems for vibro-loaded objects is shown. Contactless systems have sufficient capabilities to determine the amplitude of vibrations, it is noted that an important part of such systems is the calibration ...
Nikita S. Reuta +4 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
Модели, системы, сети в экономике, технике, природе и обществе, 2023 Background. The purpose of this article is to improve the method of calibration of a vibration measuring system, the operation of which is based on the analysis of the image of a round test fragment with vibrational blur, by establishing a correspondence
Aleksey V. Grigoryev
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Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler +20 more
wiley +1 more source