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Fractal Analysis for Reduced Reference Image Quality Assessment
By: Le Callet, P.; Quan, Y.; Liu, D.; Xu, Y.;
2015 / IEEE
This item from - IEEE Transaction - Signal Processing and Analysis - In this paper, multifractal analysis is adapted to reduced-reference image quality assessment (RR-IQA). A novel RR-QA approach is proposed, which measures the difference of spatial arrangement between the reference image and the distorted image in terms of spatial regularity measured by fractal dimension. An image is first expressed in Log-Gabor domain. Then, fractal dimensions are computed on each Log-Gabor subband and concatenated as a feature vector. Finally, the extracted features are pooled as the quality score of the distorted image using