Results 11 to 20 of about 6,482 (156)
DeepFL-IQA:Weak supervision for deep IQA feature learning [PDF]
, 2020 Multi-level deep-features have been driving state-of-the-art methods for aesthetics and image quality assessment (IQA). However, most IQA benchmarks are comprised of artificially distorted images, for which features derived from ImageNet under-perform ...
Hosu, Vlad +2 more
core +1 more source
No-reference quality assessment for image-based assessment of economically important tropical woods.
PLoS ONE, 2020 Image Quality Assessment (IQA) is essential for the accuracy of systems for automatic recognition of tree species for wood samples. In this study, a No-Reference IQA (NR-IQA), wood NR-IQA (WNR-IQA) metric was proposed to assess the quality of wood images.
Heshalini Rajagopal +3 more
doaj +1 more source
Avaliação do impacto da implantação do sistema de esgotamento sanitário na qualidade da água da Bacia Hidrográfica do Rio Cachoeira, em Joinville, Santa Catarina [PDF]
Revista DAE, 2018 A compreensão das relações entre saneamento, saúde pública e meio ambiente é essencial para o planejamento dos sistemas de saneamento nas cidades. Desta forma, o objetivo deste trabalho foi realizar uma avaliação do impacto da implantação do sistema ...
Thiago Zschornack +1 more
doaj +1 more source
DFT Performance in the IQA Energy Partition of Small Water Clusters [PDF]
, 2019 In this contribution, we assess performance of a large set of exchange-correlation functionals in the description of hydrogen bonding within the Interacting Quantum Atoms (IQA) energy partition.
Tomás, Rocha-Rinza +5 more
core +1 more source
Blind Quality Assessment of Images Containing Objects of Interest
Sensors, 2023 To monitor objects of interest, such as wildlife and people, image-capturing devices are used to collect a large number of images with and without objects of interest.
Wentong He, Ze Luo
doaj +1 more source
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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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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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
doaj +1 more source
, 2021 The interacting quantum atoms (IQA) method decomposes the total quantum mechanical (QM) energy of a molecular system in terms of one- and two-center (atomic) contributions within the context of the quantum theory of atoms in molecules. IQA, enhanced with
Suarez, D (via Mendeley Data)
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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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