NDLI: Fractal Analysis for Reduced Reference Image Quality Assessment

Content Provider	IEEE Xplore Digital Library
Author	Xu, Y. Liu, D. Quan, Y. Le Callet, P.
Copyright Year	1992
Abstract	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 ℓ₁ distance. Compared with existing approaches, the proposed method measures image quality from the perspective of the spatial distribution of image patterns. The proposed method was evaluated on seven public benchmark data sets. Experimental results have demonstrated the excellent performance of the proposed method in comparison with state-of-the-art approaches.
Sponsorship	IEEE Signal Processing Society
Page Count	12
File Size	4957241
Starting Page	2098
Ending Page	2109
File Format	PDF
ISSN	10577149
Volume Number	24
Issue Number	7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fractals Image quality Distortion measurement Visualization Frequency-domain analysis GSM Feature extraction Log-Gabor representation image quality assessment similarity of spatial arrangements fractal dimension
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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