Skip to main content

Table 2 SSIM comparison of different MCFI algorithms

From: Texture-based block partitioning method for motion compensated frame interpolation

Sequence

 

OB-MCI (Han and Woods 1997)

PMVS (Kim and Sunwoo 2014)

VS-BMC (Choi et al. 2007)

Dual ME (Kang et al. 2010)

Proposed

Foreman

CIF

0.9659

0.9725

0.9724

0.9739

0.9741

Akiyo

0.9953

0.9968

0.9964

0.9968

0.9975

Football

0.7439

0.7887

0.7547

0.7944

0.8118

Coastguard

0.9104

0.9514

0.9537

0.9584

0.9704

Flower

0.9502

0.9519

0.9529

0.9647

0.9649

Highway

0.9770

0.9709

0.9772

0.9690

0.9789

Mobile

0.8591

0.9278

0.8850

0.9043

0.9587

News

0.9876

0.9913

0.9891

0.9899

0.9918

Hall

0.9895

0.9808

0.9896

0.9801

0.9920

Stefan

0.9075

0.9385

0.9101

0.9368

0.9552

Silent

0.9821

0.9881

0.9734

0.9730

0.9896

Container

0.9918

0.9947

0.9971

0.9948

0.9953

Parkrun

720p

0.8802

0.9354

0.7685

0.9174

0.9554

Shields

0.9754

0.9865

0.9323

0.9883

0.9900

Stockholm

0.9550

0.9796

0.9250

0.9821

0.9842

Vidyo1

0.9963

0.9974

0.9969

0.9975

0.9978

FourPeople

0.9881

0.9891

0.9891

0.9902

0.9914

Johnny

0.9839

0.9828

0.9897

0.9903

0.9907

Bluesky

1080p

0.8901

0.9170

0.8376

0.9142

0.9511

Sunflower

0.9541

0.9688

0.9639

0.9711

0.9718

Kimono1

0.9442

0.9571

0.9423

0.9644

0.9626

ParkScene

0.9536

0.9694

0.9509

0.9662

0.9683

Average

 

0.9446

0.96075

0.9385

0.9599

0.9702

Average gain

 

0.0256

0.0094

0.0316

0.0103