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» Quality Assessment of Deblocked Images
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CVPR
2012
IEEE
11 years 7 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann

Publication
138views
12 years 1 months ago
Vision Models for Image Quality Assessment: One is Not Enough
A number of image quality metrics are based on psychophysical models of the human visual system. We propose a new framework for image quality assessment, gathering three indexes de...
Roland Brémond, Jean-Philippe Tarel, Eric Dumont...
ICIP
2010
IEEE
13 years 2 months ago
Natural DCT statistics approach to no-reference image quality assessment
General-purpose no-reference image quality assessment approaches still lag the advances in full-reference methods. Most no-reference methods are either distortion specific (i.e. t...
Michele A. Saad, Alan C. Bovik, Christophe Charrie...
HVEI
2009
13 years 3 months ago
Perceptually significant spatial pooling techniques for image quality assessment
Spatial pooling strategies used in recent Image Quality Assessment (IQA) algorithms have generally been that of simply averaging the values of the obtained scores across the image...
Anush K. Moorthy, Alan C. Bovik
ICIP
2010
IEEE
13 years 3 months ago
Global motion temporal filtering for in-loop deblocking
One of the most severe problems in hybrid video coding is its block-based approach, which leads to distortions called blocking artifacts. These artifacts affect not only the subje...
Alexander Glantz, Andreas Krutz, Thomas Sikora