Complexity / 2020 / Article / Tab 3

Research Article

Image Defogging Algorithm Based on Sparse Representation

Table 3

Objective evaluation of image quality.

Defog imageDehazing algorithmSSIMPSNR

First imageReference [5]0.00581.72311.57320.876520.3072
Reference [6]0.21041.31370.50240.721414.4050
Reference [10]0.03541.54050.34060.845218.0232
Our algorithm0.01371.47380.02970.968532.0796

Second imageReference [5]0.62652.00121.56580.704316.1828
Reference [6]0.75271.64740.12830.636711.7532
Reference [10]0.59802.07040.13860.778916.8623
Our algorithm0.69362.25980.00040.890620.1899

Third imageReference [5]2.59112.22081.51000.548513.8240
Reference [6]2.72392.17150.05160.638913.9329
Reference [10]1.99472.66080.01500.857820.6405
Our algorithm1.73332.52350.00030.524818.7909

Fourth imageReference [5]1.76112.42181.75460.626913.8187
Reference [6]1.94081.66570.46370.552210.9472
Reference [10]1.91611.27141.70760.417311.2976
Our algorithm0.91781.50660.00050.866919.5566

Fifth imageReference [5]0.97542.09111.57230.690715.3297
Reference [6]1.14651.80620.26790.614111.7734
Reference [10]0.92762.32400.19360.802717.2055
Our algorithm1.57581.53870.00050.729819.5380

Mean of five imagesReference [5]1.19202.09161.59510.689415.8925
Reference [6]1.35481.72090.28280.632712.5623
Reference [10]1.09441.97340.479110.740416.8058
Our algorithm0.98681.86050.00630.796122.0310

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