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Table 4 Median SROCC/PLCC/RMSE values on the LIVE database

From: No-reference color image quality assessment: from entropy to perceptual quality

Index Method JP2K JPEG Noise Blur FF All
SROCC PSNR 0.9053 0.8866 0.9844 0.8120 0.8981 0.8850
  SSIM 0.9517 0.9671 0.9631 0.9306 0.9404 0.9255
  VIF 0.9160 0.9482 0.9435 0.9600 0.9617 0.9287
  BIQI 0.8401 0.8425 0.9362 0.8924 0.7383 0.8340
  DIIVINE 0.9363 0.9051 0.9692 0.9478 0.8778 0.9261
  BLIINDS-II 0.9389 0.9449 0.9596 0.9447 0.8653 0.9362
  BRISQUE 0.9349 0.9480 0.9725 0.9616 0.8821 0.9411
  NIQE 0.9171 0.9094 0.9697 0.9678 0.8715 0.9142
  ILNIQE 0.9199 0.9335 0.9730 0.9526 0.8991 0.9219
  SSEQ 0.9355 0.9509 0.9689 0.9554 0.8943 0.9349
  ENIQA 0.9255 0.9515 0.9762 0.9481 0.8491 0.9378
PLCC PSNR 0.9176 0.9130 0.9887 0.8277 0.9169 0.8825
  SSIM 0.9508 0.9751 0.9783 0.8739 0.9203 0.9241
  VIF 0.9360 0.9594 0.9679 0.9689 0.9748 0.9318
  BIQI 0.8778 0.8827 0.9551 0.8873 0.7987 0.8494
  DIIVINE 0.9541 0.9416 0.9791 0.9443 0.8994 0.9309
  BLIINDS-II 0.9564 0.9721 0.9698 0.9533 0.8855 0.9412
  BRISQUE 0.9550 0.9789 0.9838 0.9601 0.9151 0.9510
  NIQE 0.9485 0.9443 0.9396 0.9699 0.9040 0.8734
  ILNIQE 0.9549 0.9670 0.9766 0.9487 0.9250 0.8987
  SSEQ 0.9514 0.9638 0.9823 0.9691 0.9227 0.9380
  ENIQA 0.9503 0.9741 0.9828 0.9447 0.8791 0.9437
RMSE PSNR 9.9129 12.8262 4.2127 10.3076 11.1624 12.7229
  SSIM 7.7506 6.9422 5.7534 9.1163 10.8487 10.3565
  VIF 8.8859 8.8635 7.0133 4.5270 6.2119 9.8436
  BIQI 13.7600 16.4621 9.7859 11.0204 18.7142 16.4823
  DIIVINE 8.5666 11.8295 6.7472 7.9227 13.6016 11.4397
  BLIINDS-II 8.1849 8.2528 8.0538 7.1483 14.0510 10.5832
  BRISQUE 8.5280 7.1899 5.9282 6.6549 12.3081 9.6662
  NIQE 9.1488 11.5084 11.4903 5.7870 13.2733 15.1785
  ILNIQE 8.5310 8.9270 7.0934 7.5084 11.7819 13.6439
  SSEQ 8.8145 9.3283 6.8836 6.5752 12.2893 10.6405
  ENIQA 8.9964 7.9640 6.1051 7.7741 14.5150 10.3234
  1. The top performances of the FR-IQA and NR-IQA indices are italicized. The second-best results of the NR-IQA indices are highlighted in bold