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16 December 2013 No-reference image quality assessment based on log-derivative statistics of natural scenes
Yi Zhang, Damon M. Chandler
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Journal of Electronic Imaging, Vol. 22, Issue 4, 043025 (December 2013). https://doi.org/10.1117/1.JEI.22.4.043025
Abstract
We propose an efficient blind/no-reference image quality assessment algorithm using a log-derivative statistical model of natural scenes. Our method, called DErivative Statistics-based QUality Evaluator (DESIQUE), extracts image quality-related statistical features at two image scales in both the spatial and frequency domains. In the spatial domain, normalized pixel values of an image are modeled in two ways: pointwise-based statistics for single pixel values and pairwise-based log-derivative statistics for the relationship of pixel pairs. In the frequency domain, log-Gabor filters are used to extract the fine scales of the image, which are also modeled by the log-derivative statistics. All of these statistics can be fitted by a generalized Gaussian distribution model, and the estimated parameters are fed into combined frameworks to estimate image quality. We train our models on the LIVE database by using optimized support vector machine learning. Experiment results tested on other databases show that the proposed algorithm not only yields a substantial improvement in predictive performance as compared to other state-of-the-art no-reference image quality assessment methods, but also maintains a high computational efficiency.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Yi Zhang and Damon M. Chandler "No-reference image quality assessment based on log-derivative statistics of natural scenes," Journal of Electronic Imaging 22(4), 043025 (16 December 2013). https://doi.org/10.1117/1.JEI.22.4.043025
Published: 16 December 2013
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Cited by 117 scholarly publications.
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KEYWORDS
Image quality
Databases
Distortion
JPEG2000
Statistical analysis
Statistical modeling
Image analysis
CHORUS Article. This article was made freely available starting 16 December 2014
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