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» A two-stage framework for blind image quality assessment
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CVPR
2011
IEEE
13 years 1 months ago
Learning a Blind Measure of Perceptual Image Quality
It is often desirable to evaluate an image based on its quality. For many computer vision applications, a perceptually meaningful measure is the most relevant for evaluation; howe...
Huixuan Tang, Neel Joshi, Ashish Kapoor
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
ICASSP
2011
IEEE
12 years 8 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
ICIP
2005
IEEE
14 years 6 months ago
Quality assessment using data hiding on perceptually important areas
In this paper, we present a no-reference video quality metric that blindly estimates the quality of a video. The proposed approach makes use of a data hiding technique to embed a ...
Marco Carli, Mylene Christine Queiroz de Farias, E...

Publication
138views
12 years 26 days 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...