Results 31 to 40 of about 17,961 (176)
Journal of Imaging, 2022 Digital images can be distorted or contaminated by noise in various steps of image acquisition, transmission, and storage. Thus, the research of such algorithms, which can evaluate the perceptual quality of digital images consistent with human quality ...
Domonkos Varga
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Review on Interactive Question Answering Techniques Based on Deep Learning [PDF]
Jisuanji kexue, 2021 Compared to the traditional question answering(QA),interactive question answering(IQA) considers dialogue context and background information,which brings new challenges to understand user input and reason answers.First of all,user input is not only ...
HUANG Xin, LEI Gang, CAO Yuan-long, LU Ming-ming
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IEEE Access, 2020 Deep Learning based image quality assessment (IQA) has been shown to greatly improve the quality score prediction accuracy of images with single distortion.
Mengyang Liu +6 more
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Goal oriented image quality assessment
IET Image Processing, 2022 The area of image quality assessment(IQA) is an active research area in image processing and computer vision. All IQA algorithms reported in literature are attempting to quantify only the visual quality of the images/videos. An interesting question to be
Kiruthika S., Dr. Masilamani V.
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IE-IQA: Intelligibility Enriched Generalizable No-Reference Image Quality Assessment [PDF]
Frontiers in Neuroscience, 2021 Image quality assessment (IQA) for authentic distortions in the wild is challenging. Though current IQA metrics have achieved decent performance for synthetic distortions, they still cannot be satisfactorily applied to realistic distortions because of the generalization problem.
Tianshu Song +4 more
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Real-Space In Situ Bond Energies: Toward A Consistent Energetic Definition of Bond Strength [PDF]
, 2018 CTQ2015-65790-P; GRUPIN14-049, FICYT, Fundación para el Fomento en Asturias de la Investigación Científica Aplicada y la ...
Costales Castro, María Aurora +3 more
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Bioengineering, 2023 The quality of breast ultrasound images has a significant impact on the accuracy of disease diagnosis. Existing image quality assessment (IQA) methods usually use pixel-level feature statistical methods or end-to-end deep learning methods, which focus on
Ziwen Wang +7 more
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NITS-IQA Database: A New Image Quality Assessment Database
Sensors, 2023 This paper describes a newly-created image database termed as the NITS-IQA database for image quality assessment (IQA). In spite of recently developed IQA databases, which contain a collection of a huge number of images and type of distortions, there is still a lack of new distortion and use of real natural images taken by the camera.
Jayesh Ruikar, Saurabh Chaudhury
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PLoS ONE, 2015 BackgroundOwing toGiven the high costs of drugs to treat multi-drug resistant tuberculosis (MDR-TB), the Green Light Committee (GLC) initiative enables TB programs to procure quality-assured drugs at reduced prices.
Ejaz Qadeer +5 more
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Interacting Quantum Atoms—A Review
Molecules, 2020 The aim of this review is threefold. On the one hand, we intend it to serve as a gentle introduction to the Interacting Quantum Atoms (IQA) methodology for those unfamiliar with it.
José Manuel Guevara-Vela +3 more
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