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A New Image Distortion Measure Based on Natural Scene Statistics Modeling

A New Image Distortion Measure Based on Natural Scene Statistics Modeling

Abdelkaher Ait Abdelouahad, Mohammed El Hassouni, Hocine Cherifi, Driss Aboutajdine
Copyright: © 2012 |Volume: 2 |Issue: 1 |Pages: 15
ISSN: 2155-6997|EISSN: 2155-6989|EISBN13: 9781466611252|DOI: 10.4018/ijcvip.2012010101
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MLA

Abdelouahad, Abdelkaher Ait, et al. "A New Image Distortion Measure Based on Natural Scene Statistics Modeling." IJCVIP vol.2, no.1 2012: pp.1-15. http://doi.org/10.4018/ijcvip.2012010101

APA

Abdelouahad, A. A., El Hassouni, M., Cherifi, H., & Aboutajdine, D. (2012). A New Image Distortion Measure Based on Natural Scene Statistics Modeling. International Journal of Computer Vision and Image Processing (IJCVIP), 2(1), 1-15. http://doi.org/10.4018/ijcvip.2012010101

Chicago

Abdelouahad, Abdelkaher Ait, et al. "A New Image Distortion Measure Based on Natural Scene Statistics Modeling," International Journal of Computer Vision and Image Processing (IJCVIP) 2, no.1: 1-15. http://doi.org/10.4018/ijcvip.2012010101

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Abstract

In the field of Image Quality Assessment (IQA), this paper examines a Reduced Reference (RRIQA) measure based on the bi-dimensional empirical mode decomposition. The proposed measure belongs to Natural Scene Statistics (NSS) modeling approaches. First, the reference image is decomposed into Intrinsic Mode Functions (IMF); the authors then use the Generalized Gaussian Density (GGD) to model IMF coefficients distribution. At the receiver side, the same number of IMF is computed on the distorted image, and then the quality assessment is done by fitting error between the IMF coefficients histogram of the distorted image and the GGD estimate of IMF coefficients of the reference image, using the Kullback Leibler Divergence (KLD). In addition, the authors propose a new Support Vector Machine-based classification approach to evaluate the performances of the proposed measure instead of the logistic function-based regression. Experiments were conducted on the LIVE dataset.

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