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We propose a no-reference image quality assessment (NR-IQA) approach that learns from rankings (RankIQA).
Estimation of shape parameter for generalized gaussian distributions in subband decompositions of video
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Gradient-based learning applied to document recognition
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Why is image quality assessment so difficult?
Z. Wang, A. C. Bovik, and L. Lu · 2002
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Image quality assessment: from error visibility to structural similarity
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli · 2004
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Learning a similarity metric discriminatively, with application to face verification
S. Chopra, R. Hadsell, and Y. LeCun · 2005
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A statistical evaluation of recent full reference image quality assessment algorithms
H. R. Sheikh, M. F. Sabir, and A. C. Bovik · 2006
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Image super-resolution survey
J. Van Ouwerkerk · 2006
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Ranking measures and loss functions in learning to rank
W. Chen, T.-Y. Liu, Y. Lan, Z.-M. Ma, and H. Li · 2009
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Large scale learning to rank
D. Sculley · 2009
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A novel free reference image quality metric using neural network approach
A. Chetouani, A. Beghdadi, S. Chen, and G. Mostafaoui · 2010
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Most apparent distortion: full-reference image quality assessment and the role of strategy
E. C. Larson and D. M. Chandler · 2010
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A two-step framework for constructing blind image quality indices
A. K. Moorthy and A. C. Bovik · 2010
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Blind image quality assessment: From natural scene statistics to perceptual quality
A. K. Moorthy and A. C. Bovik · 2011
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Fsim: a feature similarity index for image quality assessment
L. Zhang, L. Zhang, X. Mou, and D. Zhang · 2011
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Objective quality assessment of multiply distorted images
D. Jayaraman, A. Mittal, A. K. Moorthy, and A. C. Bovik · 2012
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Digital image restoration
A. K. Katsaggelos · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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No-reference image quality assessment in the spatial domain
A. Mittal, A. K. Moorthy, and A. C. Bovik · 2012
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Blind image quality assessment: A natural scene statistics approach in the dct domain
M. A. Saad, A. C. Bovik, and C. Charrier · 2012
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No-reference image quality assessment using visual codebooks
P. Ye and D. Doermann · 2012
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Unsupervised feature learning framework for no-reference image quality assessment
P. Ye, J. Kumar, L. Kang, and D. Doermann · 2012
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Simultaneous estimation of image quality and distortion via multi-task convolutional neural networks
L. Kang, P. Ye, Y. Li, and D. Doermann · 2015
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Facenet: A unified embedding for face recognition and clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
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Discriminative learning of deep convolutional feature point descriptors
E. Simo-Serra, E. Trulls, L. Ferraz, I. Kokkinos, P. Fua, and F. Moreno-Noguer · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
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Unsupervised learning of visual representations using videos
X. Wang and A. Gupta · 2015
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Learning to compare image patches via convolutional neural networks
S. Zagoruyko and N. Komodakis · 2015
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No-reference image blur assessment based on gradient profile sharpness
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No-reference quality assessment of jpeg images via a quality relevance map
S. A. Golestaneh and D. M. Chandler · 2014
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Caffe: Convolutional architecture for fast feature embedding
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Convolutional neural networks for no-reference image quality assessment
L. Kang, P. Ye, Y. Li, and D. Doermann · 2014
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No-reference image quality assessment in curvelet domain
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Som: Semantic obviousness metric for image quality assessment
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Label-free non-reference image quality assessment via deep neural network, Nov. 3 2015
Q. Zhang, Z. Ji, S. Lilong, and I. Ovsiannikov · 2015
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On the use of deep learning for blind image quality assessment
S. Bianco, L. Celona, P. Napoletano, and R. Schettini · 2016
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A deep neural network for image quality assessment
S. Bosse, D. Maniry, T. Wiegand, and W. Samek · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Image quality assessment using similar scene as reference
Y. Liang, J. Wang, X. Wan, Y. Gong, and N. Zheng · 2016
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Deep metric learning via lifted structured feature embedding
H. O. Song, Y. Xiang, S. Jegelka, and S. Savarese · 2016
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Blind image quality assessment based on high order statistics aggregation
J. Xu, P. Ye, Q. Li, H. Du, Y. Liu, and D. Doermann · 2016
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