Image Quality Assessment Using Non-Linear Multi- Metric Fusion Approach

نویسندگان

  • Raman Gupta
  • Dipti Bansal
  • Charanjit Singh
چکیده

This paper presents a new approach for objective image quality assessment using multi-metric fusion. The current research is motivated by the observation that there is no single metric that provides the best performance scores in all conditions. To attain MMF, we approve an analytical formula based approach. First, we collect a large number of test images, each of which has a score labeled by human observers and scores linked with different metrics. The new MMF score is evaluated as the nonlinear combination of multiple metrics. It is shown by experimental results that the suggested MMF metric outperforms all existing metrics by a significant margin. Keywords—Image Quality Assessment (IQA), Multi-metric fusion (MMF), Mean Opinion Score (MOS).

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تاریخ انتشار 2014