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Table 2 Median LCC across 1000 train-test on the LIVE database II

From: Blind image quality assessment via semi-supervised learning and fuzzy inference

Metric Type JP2K JPEG WN Gblur FF Entire database
PSNR FR 0.8962 0.8596 0.9858 0.7834 0.8895 0.8240
SSIM FR 0.9367 0.9283 0.9695 0.8740 0.9428 0.8634
IFC FR 0.9027 0.9047 0.9581 0.9608 0.9614 0.9106
VIF FR 0.9615 0.9430 0.9839 0.9744 0.9618 0.9501
NSS Blind 0.9210 0.3661 0.8217 0.7007 0.7224 0.4946
BIQI Blind 0.8086 0.9011 0.9538 0.8293 0.7328 0.8205
DIIVINE Blind 0.9220 0.9210 0.9880 0.9230 0.8880 0.9170
BLIINDS-II Blind 0.9630 0.9793 0.9854 0.9481 0.9436 0.9232
SRNSS Blind 0.9359 0.9391 0.9404 0.9356 0.9473 0.9318
BRISQUE Blind 0.9229 0.9734 0.9851 0.9506 0.9093 0.9424
NIQE Blind 0.9370 0.9564 0.9773 0.9525 0.9128 0.9147
CBIQ Blind 0.912 0.963 0.959 0.918 0.885 0.896
S2F2-I Blind 0.9578 0.9489 0.9668 0.9556 0.9370 0.9464