Table 6 Performance comparisons of the proposed method on natural image datasets and screen content image datasets.

From: Underwater image quality assessment method based on color space multi-feature fusion

 

Method

LIVE

TID2013

SIQAD

LIVEMD

SROCC

SSIM

0.9269

0.6370

0.7521

0.6786

PSNR

0.8756

0.5531

0.5608

0.6771

FSIM

0.9610

0.8015

0.5819

0.6835

VIF

0.9639

0.6679

0.6314

0.8823

SSEQ

0.9033

0.6162

0.7287

0.8667

BIQI

0.8796

0.4939

0.7320

0.8905

NMFC

0.9369

0.6735

0.7458

0.8742

KROCC

SSIM

0.7526

0.4636

0.5543

0.5006

PSNR

0.6865

0.4027

0.4226

0.5003

FSIM

0.8379

0.6289

0.4250

0.6727

VIF

0.8282

0.5147

0.4577

0.6969

SSEQ

0.7364

0.4490

0.5393

0.6832

BIQI

0.7312

0.3493

0.5436

0.7174

NMFC

0.7957

0.4940

0.5559

0.6855

PLCC

SSIM

0.9243

0.6524

0.7461

0.6198

PSNR

0.8723

0.5734

0.5508

0.7716

FSIM

0.9597

0.8589

0.5902

0.8359

VIF

0.9604

0.7720

0.7066

0.9144

SSEQ

0.9017

0.6943

0.7704

0.8805

BIQI

0.8823

0.5935

0.7740

0.9052

NMFC

0.9404

0.7191

0.7830

0.8829