Results 1 to 10 of about 1,704,825 (163)
Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
We present a deep neural network-based approach to image quality assessment (IQA). The network is trained end-to-end and comprises ten convolutional layers and five pooling layers for feature extraction, and two fully connected layers for regression, which makes it significantly deeper than related IQA models.
Sebastian Bosse +4 more
openaire +6 more sources
Full‐reference tone‐mapped images quality assessment [PDF]
Various tone mapping operators have been proposed to convert the high dynamic range images to low dynamic ranges to improve visualization on low dynamic range displays.
Mohammad Reza Faraji
doaj +2 more sources
Saliency-Guided Local Full-Reference Image Quality Assessment
Research and development of image quality assessment (IQA) algorithms have been in the focus of the computer vision and image processing community for decades.
Domonkos Varga
doaj +3 more sources
An Optimization-Based Family of Predictive, Fusion-Based Models for Full-Reference Image Quality Assessment. [PDF]
Varga D.
europepmc +2 more sources
Full-reference metrics multidistortional analysis
Oleg Ieremeiev +3 more
openaire +3 more sources
Objectives: Hemispherotomy (HT) is a surgical option for treatment of drug-resistant seizures due to hemispheric structural lesions. Factors affecting seizure outcome have not been fully clarified.
Chiara Pepi +9 more
doaj +1 more source
Algorithmic games for full ground references [PDF]
We present a full classification of decidable and undecidable cases for contextual equivalence in a finitary ML-like language equipped with full ground storage (both integers and reference names can be stored). The simplest undecidable type is unit → unit → unit .
Murawski, AS, Tzevelekos, N
openaire +4 more sources
It has been an honor for us to receive a comment on our article “Fatal Status Epilepticus in Dravet Syndrome” [...]
Paola De Liso +8 more
doaj +1 more source
IntroductionSLC6A1 pathogenic variants have been associated with epilepsy and neurodevelopmental disorders. The clinical phenotype includes different seizure types, intellectual disability, and psychiatric symptoms affecting mood and behavior.
Marina Trivisano +11 more
doaj +1 more source
The seizure type most frequently described in GLUT1 deficiency is generalized (mainly absence). We report the case of a young boy who, as the main clinical manifestation presented with focal non-motor, and then focal motor seizures.At the age of 3 months
M.E. Santarone +4 more
doaj +1 more source

