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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
Unifying Structural and Semantic Similarities for Quality Assessment of DIBR-Synthesized Views
IEEE Access, 2022 Multi-view 3D content is subject to distortions during the process of depth image-based rendering (DIBR). Studies have shown the unreliable performance of the well-established image quality assessment (IQA) models for evaluation of DIBR-synthesized views
Saeed Mahmoudpour, Peter Schelkens
doaj +1 more source
Massive Online Crowdsourced Study of Subjective and Objective Picture Quality
, 2015 Most publicly available image quality databases have been created under highly controlled conditions by introducing graded simulated distortions onto high-quality photographs.
Bovik, Alan C., Ghadiyaram, Deepti
core +1 more source
Intramolecular N···F Pnictogen Bond Mitigates the Explosive Behavior of Azido‐L‐Phenylalanines
ChemistryEurope, EarlyView.An intramolecular N···F pnictogen bond is the key for the chemical stabilization of the fluorinated azido‐L‐phenylalanines, mitigating the risk of explosion and thus facilitating the handling and storage of these materials. Organic azides are versatile intermediates but are plagued by intrinsic instability and potential explosiveness. Here, it is shown
Andrea Pizzi +5 more
wiley +1 more source
A Regression-Based Family of Measures for Full-Reference Image Quality Assessment
Measurement Science Review, 2016 The advances in the development of imaging devices resulted in the need of an automatic quality evaluation of displayed visual content in a way that is consistent with human visual perception.
Oszust Mariusz
doaj +1 more source
2D and 3D Image Quality Assessment: A Survey of Metrics and Challenges
IEEE Access, 2019 Image quality is important not only for the viewing experience, but also for the performance of image processing algorithms. Image quality assessment (IQA) has been a topic of intense research in the fields of image processing and computer vision.
Yuzhen Niu +4 more
doaj +1 more source
, 2018 Visual question answering (Visual QA) has attracted a lot of attention lately, seen essentially as a form of (visual) Turing test that artificial intelligence should strive to achieve.
Chao, Wei-Lun, Hu, Hexiang, Sha, Fei
core +1 more source
Human tests for machine models: What lies “Beyond the Imitation Game”?
Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.Abstract Benchmarking large language models (LLMs) is a key practice for evaluating their capabilities and risks. This paper considers the development of “BIG Bench,” a crowdsourced benchmark designed to test LLMs “Beyond the Imitation Game.” Drawing on linguistic anthropological and ethnographic analysis of the project's GitHub repository, we examine ...
Noya Kohavi, Anna Weichselbraun
wiley +1 more source
Increasing the Robustness of Image Quality Assessment Models Through Adversarial Training
TechnologiesThe adversarial robustness of image quality assessment (IQA) models to adversarial attacks is emerging as a critical issue. Adversarial training has been widely used to improve the robustness of neural networks to adversarial attacks, but little in-depth
Anna Chistyakova +6 more
doaj +1 more source
Predicting Face Recognition Performance Using Image Quality [PDF]
, 2015 This paper proposes a data driven model to predict the performance of a face recognition system based on image quality features. We model the relationship between image quality features (e.g. pose, illumination, etc.) and recognition performance measures
Dutta, Abhishek +2 more
core +1 more source