Abstract
In this paper, by analyzing the performances of existing image quality assessment functions in different differential mean opinion scores (DMOS) ranges, the best method in each range is selected. These methods are further integrated with each other based on entropy fusion strategy. A novel full-reference image quality assessment function called Multi-Metric Fusion (MMF) is constructed. Experimental results showed that the new developed image quality assessment function can obtain better performance than other popular methods and the statistical significances verified its novelty.
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