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Table 2 Comparative analysis using the Structural Similarity Index Measure (SSIM)

From: Efficient single image dehazing by modifying the dark channel prior

Image

He et al.

Gibson et al.

Zhu et al.

Ren et al.

Proposed

Aloe

0.116

0.137

0.202

0.162

0.131

Baby1

0.882

0.929

0.949

0.964

0.935

Books

0.912

0.942

0.875

0.939

0.936

Bowling1

0.847

0.862

0.985

0.989

0.951

Cones

0.971

0.938

0.865

0.952

0.932

Dolls1

0.783

0.662

0.577

0.697

0.712

Moebius1

0.945

0.940

0.898

0.948

0.942

Monopoly

0.892

0.928

0.940

0.978

0.944

Reindeer

0.743

0.645

0.579

0.647

0.693

Bikes1

0.762

0.644

0.516

0.596

0.705

Church

0.805

0.853

0.822

0.854

0.823

Couch

0.866

0.818

0.829

0.866

0.850

Dolls

0.833

0.803

0.826

0.834

0.830

Flower1

0.874

0.919

0.945

0.419

0.856

Flower2

0.879

0.864

0.966

0.592

0.838

Mansion

0.914

0.842

0.877

0.873

0.900

Moebius

0.806

0.832

0.939

0.892

0.846

Raindeer

0.837

0.848

0.849

0.799

0.854

Roofs2

0.856

0.781

0.662

0.630

0.814

Trees2

0.732

0.676

0.577

0.612

0.706

Average

0.813

0.793

0.784

0.762

0.810