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EURASIP Journal on Image and Video Processing

Table 7 Performance indices obtained by training on the LIVE or TID2013 database and testing on the TID2013 or LIVE database

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

Method

Trained on LIVE, tested on TID2013

Trained on TID2013, tested on LIVE

 

SROCC

PLCC

RMSE

SROCC

PLCC

RMSE

PSNR

0.9244

0.9140

5.6710

0.8850

0.8825

12.7229

SSIM

0.8662

0.8723

6.8356

0.9255

0.9241

10.3565

VIF

0.9181

0.9401

4.7645

0.9287

0.9318

9.8436

BIQI

0.8388

0.8447

7.4817

0.5699

0.6315

22.4137

DIIVINE

0.7958

0.7868

8.6283

0.8012

0.8803

15.0072

BLIINDS-II

0.8503

0.8413

7.5559

0.9267

0.9476

10.3571

BRISQUE

0.8817

0.8860

6.4821

0.8969

0.8962

14.1317

NIQE

0.6798

0.6685

10.3965

0.9287

0.9447

10.7151

ILNIQE

0.7793

0.7956

8.4692

0.8537

0.8935

12.9788

SSEQ

0.8294

0.8769

6.7188

0.8827

0.9167

11.5529

ENIQA

0.8916

0.8953

6.2283

0.9026

0.9093

12.2189

  1. The top performances of the FR-IQA and NR-IQA indices are highlighted in italics. The second-best results of the NR-IQA indices are boldfaced
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