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Table 1 Summary of point and mask-based RR perceptual quality assessment metrics values with respect to the distortion types (i.e., JPEG, JPEG2000)

From: Reduced reference image and video quality assessments: review of methods

Domain

Multimedia

Resolution

Distortion type

Quality parameter

Parameter value

Point

Image

512 × 512

JPEG,

PSNR [50]

0.918,

512 × 512

JPEG2000

PSNR [50]

0.924

512 × 512

JPEG,

PSNR [54]

0.532

512 × 512

JPEG2000

PSNR [54]

0.553

512 × 512

JPEG

PSNR [55]

0.732

482 × 512

JPEG2000

PSNR [57]

0.872

512 × 512

JPG

PSNR [61]

0.902

512 × 512

JPEG,

SSIM [62]

0.773

512 × 512

JPEG2000

SSIM [62]

0.791

Video

360 × 288

MS-MPEG-4

Blockiness [21]

0.748

Mask

Image

768 × 512

JPEG2000

EHD [64]

0.792

512 × 512

JPEG

MS-SSIM [64]

0.952

512 × 512

JPEG2000

MSE [53]

0.913

512 × 512

White noise

PSNR [53]

0.892

480 × 720

JPEG,

W-SCM [53]

0.714

512 × 512

JPEG,

PSNR [66]

0.688

512 × 512

JPEG2000

PSNR [66]

0.724

512 × 512

JPEG

SSIM [67]

0.731

372 × 512

JPEG,

PSNR [69]

0.795

372 × 512

JPEG2000

PSNR [69]

0.716

Video

32 × 32(FFT)

VQEG

MSE [70]

0.821

768 × 512

H.263

SSIM [73]

0.737

768 × 512

H.264/AVC

EPSNR [21]

0.858

486 × 720

MPEG-2

VQM [50]

0.923

486 × 720

MPEG-2

PSNR Winkler Metric [73]

0.779

32 × 32(FFT)

MPEG-2

Winkler Metric [71]

0.784

32 × 32(FFT)

MPEG-2

Winkler Metric [74]

0.713

  1. Resolution represents the image/video resolution. Distortion type represents their method used on different distortion types with respect to quality estimations. Quality parameter represents the evaluation parameters used by authors in their work.
  2. Note: Parameter value represents performance values of the RR technique applying on particular distortion type. These values measure the amount of distorted introduced in the multimedia content. For example, if the distortion is due to the JPEG compression and someone want to measures the value by using PSNR with respect to a particular RR-based method. We convert and scale the parameter values in range from 0-1 used by authors in their RR-based method. If the parameter value is high, we can argue that the multimedia quality is less (i.e., highly degraded) and better will be the RR-based technique. The authors used these distortions types for RR technique to measure the metrics values (i.e., PSNR, SSIM)