Pareto Optimal Weighting of Structural Impairments for Wireless Imaging Quality Assessment
| Document type: | Conference Papers |
|---|---|
| Peer reviewed: | Yes |
| Full text: | |
| Author(s): | Ulrich Engelke, Hans-Jürgen Zepernick |
| Title: | Pareto Optimal Weighting of Structural Impairments for Wireless Imaging Quality Assessment |
| Conference name: | 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5 |
| Year: | 2008 |
| ISBN: | 978-1-4244-1765-0 |
| Publisher: | IEEE |
| City: | San Diego |
| ISI number: | 000262505000094 |
| Organization: | Blekinge Institute of Technology |
| Department: | School of Engineering - Dept. of Signal Processing (Sektionen för teknik – avd. för signalbehandling) School of Engineering S- 372 25 Ronneby +46 455 38 50 00 http://www.tek.bth.se/ |
| Authors e-mail: | uen@bth.se |
| Language: | English |
| Abstract: | In this paper, we consider multiobjective optimization for obtaining the feature weights associated with structural image impairments and its application to wireless imaging quality assessment. The proposed framework supports optimization with respect to finding a trade-off between metric prediction accuracy and generalization to unknown images. Evaluation of optimal trade-off solutions for two representative scenarios reveal the benefits of the proposed approach. In particular, quality prediction accuracy of an objective image metric can be strongly increased and negligible features are identified that can be discarded to save computational complexity. |
| Subject: | Telecommunications\General Signal processing\Image and Video Processing |
| Keywords: | Multiobjective optimization, objective image quality metrics, wireless image communication |
