Articoli con mandati relativi all'accesso pubblico - Alan BovikUlteriori informazioni
Disponibili pubblicamente: 96
Gradient magnitude similarity deviation: A highly efficient perceptual image quality index
W Xue, L Zhang, X Mou, AC Bovik
IEEE transactions on image processing 23 (2), 684-695, 2013
Mandati: Research Grants Council, Hong Kong
A feature-enriched completely blind image quality evaluator
L Zhang, L Zhang, AC Bovik
IEEE Transactions on Image Processing 24 (8), 2579-2591, 2015
Mandati: National Natural Science Foundation of China, Research Grants Council, Hong Kong
No-reference image quality assessment based on spatial and spectral entropies
L Liu, B Liu, H Huang, AC Bovik
Signal processing: Image communication 29 (8), 856-863, 2014
Mandati: National Natural Science Foundation of China
Massive online crowdsourced study of subjective and objective picture quality
D Ghadiyaram, AC Bovik
IEEE Transactions on Image Processing 25 (1), 372-387, 2016
Mandati: US National Science Foundation
Blind image quality assessment using joint statistics of gradient magnitude and Laplacian features
W Xue, X Mou, L Zhang, AC Bovik, X Feng
IEEE Transactions on Image Processing 23 (11), 4850-4862, 2014
Mandati: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Melanoma classification on dermoscopy images using a neural network ensemble model
F Xie, H Fan, Y Li, Z Jiang, R Meng, AC Bovik
IEEE Transactions on Medical Imaging 36 (3), 849-858, 2017
Mandati: National Natural Science Foundation of China
Blind image quality assessment by relative gradient statistics and adaboosting neural network
L Liu, Y Hua, Q Zhao, H Huang, AC Bovik
Signal Processing: Image Communication 40, 1-15, 2016
Mandati: National Natural Science Foundation of China
DeepWaterMap: Surface water mapping by deep learning
F Isikdogan, P Passalacqua, AC Bovik
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
Mandati: US National Science Foundation
No-Reference Quality Assessment of Screen Content Pictures
K Gu, J Zhou, J Qiao, G Zhai, W Lin, A Bovik
IEEE Transactions on Image Processing 26 (8), 4005-4018, 2017
Mandati: US National Science Foundation, National Natural Science Foundation of China
Study of subjective and objective quality assessment of audio-visual signals
X Min, G Zhai, J Zhou, MCQ Farias, AC Bovik
IEEE Transactions on Image Processing 29, 6054-6068, 2020
Mandati: National Natural Science Foundation of China
Image quality assessment using contrastive learning
PC Madhusudana, N Birkbeck, Y Wang, B Adsumilli, AC Bovik
IEEE Transactions on Image Processing 31, 4149-4161, 2022
Mandati: US National Science Foundation
No-reference quality assessment of tone-mapped HDR pictures
D Kundu, D Ghadiyaram, AC Bovik, BL Evans
IEEE Transactions on Image Processing 26 (6), 2957-2971, 2017
Mandati: US National Science Foundation
Night-time dehazing by fusion
C Ancuti, CO Ancuti, C De Vleeschouwer, AC Bovik
2016 IEEE international conference on image processing (ICIP), 2256-2260, 2016
Mandati: National Fund for Scientific Research, Belgium, European Commission …
RivaMap: An automated river analysis and mapping engine
F Isikdogan, A Bovik, P Passalacqua
Remote Sensing of Environment 202, 88-97, 2017
Mandati: US National Science Foundation
Blind quality assessment of fused WorldView-3 images by using the combinations of pansharpening and hypersharpening paradigms
C Kwan, B Budavari, AC Bovik, G Marchisio
IEEE Geoscience and Remote Sensing Letters 14 (10), 1835-1839, 2017
Mandati: US Department of Defense
Re-IQA: Unsupervised learning for image quality assessment in the wild
A Saha, S Mishra, AC Bovik
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Mandati: US National Science Foundation
A Unified Probabilistic Formulation of Image Aesthetic Assessment.
H Zeng, Z Cao, L Zhang, AC Bovik
IEEE Transactions on Image Processing, 2019
Mandati: National Natural Science Foundation of China, Research Grants Council, Hong Kong
Large-scale crowdsourced study for high dynamic range images
D Kundu, D Ghadiyaram, AC Bovik, BL Evans
IEEE Trans. Image Process.,, 2017
Mandati: US National Science Foundation
Day and night-time dehazing by local airlight estimation
C Ancuti, CO Ancuti, C De Vleeschouwer, AC Bovik
IEEE Transactions on Image Processing 29, 6264-6275, 2020
Mandati: European Commission, Government of Spain
Binocular spatial activity and reverse saliency driven no-reference stereopair quality assessment
L Liu, B Liu, CC Su, H Huang, AC Bovik
Signal Processing: Image Communication 58, 287-299, 2017
Mandati: National Natural Science Foundation of China
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