Searched for: subject%3A%22Image%255C%2Bquality%255C%2Bassessment%22
(1 - 12 of 12)
document
Wang, Yichao (author), Dankelman, J. (author), Ruijters, Danny (author)
In this study, a novel anthropomorphic head phantom for quantitative image quality assessment in cone beam computed tomography (CBCT) is proposed. The phantom is composed of tissue equivalent materials (TEMs) which are suitable for cost-efficient fabrication methods such as silicone casting and 3D printing. A monocalcium phosphate/gypsum...
journal article 2022
document
Guo, Y. (author)
Electron tomography is a powerful tool in materials science to characterize nanostructures in three dimensions (3D). In scanning transmission electron microscopy (STEM), the sample under study is exposed to a focused electron beam and tilted to obtain twodimensional (2D) projections at different angles; many imaging modes are available such as...
doctoral thesis 2020
document
Grandia, Leander (author)
Atrial Fibrillation (AF) is a common type of arrhythmia, characterized by rapid and irregular contraction of the atria. Irregular contraction of the atria is caused by erroneous electrical activation, originating from the tissue around the Pulmonary Veins (PV) in the Left Atrium (LA). Catheter-based treatment of AF includes ablation of the...
master thesis 2019
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Guo, Y. (author), Rieger, B. (author)
Regularization has been introduced to electron tomography for enhancing the reconstruction quality. Since over-regularization smears out sharp edges and under-regularization leaves the image too noisy, finding the optimal regularization strength is crucial. To this end, one can either manually tune regularization parameters by trial and error...
conference paper 2019
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Guo, Y. (author), Rieger, B. (author)
Bimodal tomography introduces a weighting factor α to incorporate X-ray data into projection images acquired from scanning transmission electron microscope (STEM) for achieving an atom-specific three-dimensional (3D) reconstruction of an object on the nanoscale. Currently its value is chosen by computing reconstructions for a large range of...
conference paper 2018
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Zhou, Yuan (author)
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master thesis 2017
document
Santokhi, Maniek (author)
A world without digital images is unthinkable in this era of information and communication technology. Billions of images are created, shared and ultimately enjoyed by users every day. However, digital images are sensitive to a wide variety of distortions during the delivery mechanism it goes through. Any of the distortions that can arise during...
master thesis 2017
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Redi, J.A. (author), Liu, H. (author), Zunino, R. (author), Heynderickx, I.E.J.R. (author)
Several attempts to integrate visual saliency information in quality metrics are described in literature, albeit with contradictory results. The way saliency is integrated in quality metrics should reflect the mechanisms underlying the interaction between image quality assessment and visual attention. This interaction is actually two-fold: (1)...
journal article 2011
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Liu, H. (author), Heynderickx, I. (author)
Developing an objective metric, which automatically quantifies perceived image quality degradation induced by blur, is highly beneficial for current digital imaging systems. In many applications, these objective metrics need to be of the noreference (NR) type, which implies that quality prediction is based on the distorted image only. Recent...
journal article 2011
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Liu, H. (author), Heynderickx, I. (author)
Developing an objective metric, which automatically quantifies perceived image quality degradation induced by blur, is highly beneficial for current digital imaging systems. In many applications, these objective metrics need to be of the noreference (NR) type, which implies that quality prediction is based on the distorted image only. Recent...
conference paper 2010
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Bos, L.W. (author)
Determining the perceived quality of a digital image can be done by showing it to a large group of people and ask them to rate its quality. However, this method is too cumbersome and time-consuming for most applications. Therefore, automatic metrics have been developed, which are able to objectively predict the perceived image quality without...
master thesis 2010
document
Liu, H. (author), Redi, J. (author), Alers, H. (author), Zunino, R. (author), Heyndrinckx, I. (author)
conference paper 2010
Searched for: subject%3A%22Image%255C%2Bquality%255C%2Bassessment%22
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