Visual Importance Pooling for Image Quality Assessment 论文

详细信息

发表期刊/会议

IEEE Journal of Selected Topics in Signal Processing

发表日期

2009-03-11

发表年份

2009

摘要

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.