Results 91 to 100 of about 12,292,225 (304)
Reconstruction of Gray-Scale Images
Methodology And Computing In Applied Probability, 2001 Reconstruction of images corrupted by noise is an important problem in Image Analysis. In the standard Bayesian approach the unknown original image is assumed to be a realization of a Markov random field on a finite two dimensional finite region.
Ferrari, Pablo A. +2 more
openaire +3 more sources
Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank
FEBS Open Bio, EarlyView.Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer +7 more
wiley +1 more source
High Dynamic Range Image Reconstruction using Deep Learning
, 2023 reservedHDR image reconstruction is a technique that aims to generate high-quality images with a wider range of brightness and colors than traditional imaging methods In recent years, deep learning and residual networks have been utilized in various ...
GHARBI, MOURAD
core
Image super‐resolution reconstruction based on implicit image functions
IET Image ProcessingImage super‐resolution (SR) reconstruction is a key technique for improving image quality and details. Conventional methods are frequently limited by interpolation, filtering, or statistical approaches; thus, they are unable to reconstruct high‐quality ...
Hai Lin, JunJie Yang
doaj +1 more source
Compressed Sensing Image Reconstruction with Fast Convolution Filtering
PhotonicsImage reconstruction is a crucial aspect of computational imaging. The compressed sensing reconstruction (CS) method has been developed to obtain high-quality images. However, the CS method is commonly time-consuming in image reconstruction.
Runbo Guo, Hao Zhang
doaj +1 more source
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley +1 more source
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2019 Magnetoacoustic Tomography with Magnetic Induction (MAT-MI) is a new hybrid imaging modality especially dedicated for non-invasive electrical conductivity imaging of low-conductivity objects such as e.g. biological tissues.
Adam Ryszard Zywica, Marcin Ziolkowski
doaj +1 more source
SPG4 and Dementia: Expanding the Clinical Spectrum
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza +19 more
wiley +1 more source
Accurate object reconstruction by statistical moments
, 2003 Statistical moments can offer a powerful means for object description in object sequences. Moments used in this way provide a description of the changing shape of the object with time.
Nixon, Mark S. +2 more
core +1 more source
Association Between Motor Pathway Damage and Motor Deficit in Upper and Lower Limb in People With MS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Corticospinal tract damage is common in people with MS, but the degree of clinical symptoms varies. We hypothesize that corticospinal tract lesions are more extensive and severe in people with MS with motor impairments in both upper and lower limbs.
Mathilde Liffran +13 more
wiley +1 more source