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An Artificial Neural Network for Quality Assessment in Wireless Imaging Based on Extraction of Structural Information
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2007 (English)Conference paper (Refereed) Published
Abstract [en]

In digital transmission, images may undergo quality degradation due to lossy compression and error-prone channels. Efficient measurement tools are needed to quantify induced distortions and to predict their impact on perceived quality. In this paper, an artificial neural network (ANN) is proposed for perceptual image quality assessment. The quality prediction is based on structural image features such as blocking, blur, image activity, and intensity masking. Training and testing of the ANN is performed with reference to subjective experiments and the obtained mean opinion scores (MOS). It is shown that the proposed ANN is capable of predicting MOS over a wide range of image distortions. This applies to both cases, when reference information about the structure of the original image is available to the ANN but also in absence of this knowledge. The considered ANN would therefore be well suited for combination with link adaption techniques.

Place, publisher, year, edition, pages
Honolulu, Hawaii: IEEE , 2007.
Keyword [en]
Artificial neural network, image quality assessment, feature
National Category
Telecommunications Signal Processing
URN: urn:nbn:se:bth-9090ISI: 000249040000313Local ID: diva2:836867
Copyright © 2007 IEEE. Reprinted from (all relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of BTH's products or services Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by sending a blank email message to By choosing to view this document, you agree to all provisions of the copyright laws protecting it.Available from: 2012-09-18 Created: 2007-08-09 Last updated: 2015-06-30Bibliographically approved

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Zepernick, Hans-Jürgen
TelecommunicationsSignal Processing

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ReferencesLink to record
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