Visual Importance Pooling for Image Quality Assessment
Top Cited Papers
- 10 March 2009
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Journal of Selected Topics in Signal Processing
- Vol. 3 (2), 193-201
- https://doi.org/10.1109/jstsp.2009.2015374
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.Keywords
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