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Visual importance pooling for image quality assessment
A.K. Moorthy and A.C. Bovik
IEEE Journal on Special Topics in Signal Processing, Special Issue on Visual Media Quality Assessment
Abstract
Recent image quality assessment (IQA) metrics
achieve high correlation with human perception of image quality.
Naturally, it is of interest to produce even better results. One
promising method is to weight image quality measurements by
visual importance. To this end, we describe two strategies—visual
fixation-based weighting, and quality-based weighting. By
contrast with some prior studies we find that these strategies can
improve the correlations with subjective judgment significantly.
We demonstrate improvements on the SSIM index in both its
multiscale and single-scale versions, using the LIVE database as
a test-bed.
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