Results 61 to 70 of about 6,482 (156)
Siamese-Network-Based Learning to Rank for No-Reference 2D and 3D Image Quality Assessment
IEEE Access, 2019 2D image quality assessment (IQA) and stereoscopic 3D IQA are considered as two different tasks in the literature. In this paper, we present an index for both no-reference 2D and 3D IQA.
Yuzhen Niu +3 more
doaj +1 more source
KADID-10k: A Large-scale Artificially Distorted IQA Database
, 2019 Current artificially distorted image quality assessment (IQA) databases are small in size and limited in content. Larger IQA databases that are diverse in content could benefit the development of deep learning for IQA.
Vlad Hosu +5 more
core +1 more source
Avaliação da qualidade da água em área de preservação permanente pela obtenção do IQA/ Assessment of water quality in permanent preservation areas by obtaining IQA [PDF]
, 2022 O maior patrimônio da humanidade é a água, um bem natural e direito de todos, fundamental a todos seres vivos. Seu uso é indispensável para inúmeras atividades como abastecimento para consumo humano, recreação, irrigação, dessedentação de animais e ...
Soares, Elaine Amorim +2 more
core +1 more source
An Examination of Task‐Evoked fMRI Data Processing in Functional Connectivity
Journal of Neuroscience Research, Volume 104, Issue 6, June 2026.In this work, we analyzed the preprocessing of task‐fMRI data to explore the contribution of the task information in connectomics towards a methodological consensus for preprocessing among task‐state connectivity studies. We investigated whether a task‐free connectivity can be inferred from task‐fMRI and examined its impact upon a clinical disorder ...
Alice Giubergia +8 more
wiley +1 more source
No Reference Image Quality Assessment based on Multi-Expert Convolutional Neural Networks
IEEE Access, 2018 No Reference (NR) Image Quality Assessment (IQA) algorithm is capable of measuring the quality of distorted images without referencing the original images. This property is of great importance in image processing, compression, and transmission.
Chunling Fan +3 more
doaj +1 more source
Collective Interactions in Ion Pairs
Journal of Computational Chemistry, Volume 47, Issue 14, 30 May 2026.This study demonstrates, by means of the analysis of the electron density topology, that collective interactions stabilize ion pairs through the simultaneous engagement of multiple atoms, rather than simple pairwise electrostatics. ABSTRACT Collective interactions represent a recently proposed bonding mode in which stabilization arises not from a ...
Jorge Gonzalo +3 more
wiley +1 more source
GIC‐Related Observations During the May 2024 Geomagnetic Storm in the United States
Space Weather, Volume 24, Issue 5, May 2026.Abstract The May 2024 geomagnetic storm was one of the most severe in the past 20 years. Understanding how large geomagnetic disturbances (GMDs) impact geomagnetically induced currents (GICs) within electrical power grid networks is key to ensuring their resilience.
L. A. Wilkerson +8 more
wiley +1 more source
Short description of the research software : A C++ library to analyze image quality. Detect e.g. if an image is over-/underexposed, blurry or contains little information. iqa is based on OpenVC and can utilize your GPU for a great performance boost.
Heger, Karl
core +1 more source
SAM-IQA: Can Segment Anything Boost Image Quality Assessment?
, 2023 Image Quality Assessment (IQA) is a challenging task that requires training on massive datasets to achieve accurate predictions. However, due to the lack of IQA data, deep learning-based IQA methods typically rely on pre-trained networks trained on ...
Jiang, Ting +3 more
core +1 more source
Cross-IQA: Unsupervised Learning for Image Quality Assessment [PDF]
Automatic perception of image quality is a challenging problem that impacts billions of Internet and social media users daily. To advance research in this field, we propose a no-reference image quality assessment (NR-IQA) method termed Cross-IQA based on
Zhang, Zhen
core +1 more source