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Proceedings Paper

Image quality assessment based on distortion identification
Author(s): Aladine Chetouani; Azeddine Beghdadi
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Paper Abstract

A New Global Full-Reference Image Quality System based on classification and fusion scheme is proposed. It consists of many steps. The first step is devoted to the identification of the type of degradation contained in a given image based a Linear Discriminant Analysis (LDA) classifier using some common Image Quality Metric (IQM) as feature inputs. An IQM per degradation (IQM-D) is then used to estimate the quality of the image. For a given degradation type, the appropriate IQM-D is derived by combining the top three best IQMs using an Artificial Neural Network model. The performance of the proposed scheme is evaluated first in terms of good degradation identification. Then, for each distortion type the image quality estimation is evaluated in terms of good correlation with the subjective judgments using the TID 2008 image database.

Paper Details

Date Published: 24 January 2011
PDF: 9 pages
Proc. SPIE 7867, Image Quality and System Performance VIII, 78670E (24 January 2011); doi: 10.1117/12.876308
Show Author Affiliations
Aladine Chetouani, L2TI, Institut Galilée, Univ. Paris 13 (France)
Azeddine Beghdadi, L2TI, Institut Galilée, Univ. Paris 13 (France)


Published in SPIE Proceedings Vol. 7867:
Image Quality and System Performance VIII
Susan P. Farnand; Frans Gaykema, Editor(s)

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