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» Ppiq: A Probabilistic Framework For Image Quality Assessment
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ICIP
2009
IEEE
12 years 11 months ago
Ppiq: A Probabilistic Framework For Image Quality Assessment
In this paper a framework for Image Quality Assessment (IQA) is introduced based on the properties of Receptive Fields (RFs) which are the primary mechanism for detection of visua...
ICIP
2010
IEEE
11 years 7 months ago
A two-stage framework for blind image quality assessment
Most present day no-reference/blind image quality assessment (NR IQA) algorithms are distortion specific - i.e., they assume that the distortion affecting the image is known. Here...
Anush K. Moorthy, Alan C. Bovik
CVPR
2012
IEEE
10 years 7 days 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
ICASSP
2011
IEEE
11 years 1 months ago
RRED indices: Reduced reference entropic differencing framework for image quality assessment
We study the problem of automatic “reduced reference” image quality assessment algorithms from the point of view of image information change. Algorithms that measure differenc...
Rajiv Soundararajan, Alan C. Bovik

Publication
138views
10 years 5 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...
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