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Proceedings Paper

Advanced image quality assessment approach using multiple quality measures with the artificial neural network data processing support
Author(s): Karel Fliegel
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Paper Abstract

This paper deals with the subjective and objective image quality evaluation. The demand of an accurate image and video objective quality assessment tool is extremely important in modern multimedia systems. Possible enhancement of the performance in existent image quality assessment approaches using multiple quality measures with the support of the artificial neural network data processing is proposed. The analysis results of the known quality measures and their suitability for the particular image or video quality assessment problem are presented. The most suitable measures are used to implement the novel image quality assessment tool using artificial neural network data processing. Optimization of the proposed model has been done in order to achieve as highest generalization feature of the model as possible. Performance of the implemented model for the image quality assessment has been evaluated using the database of distorted images and subjective image quality assessment results with respect to the Mean Opinion Score (MOS) obtained by the group of observers. It is shown that the proposed image quality assessment model can achieve high correlation with the subjective image quality ratings.

Paper Details

Date Published: 18 April 2006
PDF: 6 pages
Proc. SPIE 6180, Photonics, Devices, and Systems III, 61801Z (18 April 2006); doi: 10.1117/12.675848
Show Author Affiliations
Karel Fliegel, Czech Technical Univ. (Czech Republic)

Published in SPIE Proceedings Vol. 6180:
Photonics, Devices, and Systems III
Pavel Tománek; Miroslav Hrabovský; Miroslav Miler; Dagmar Senderákova, Editor(s)

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