Research Article

Single Image Dehazing and Edge Preservation Based on the Dark Channel Probability-Weighted Moments

Table 2

Performance comparison of DCPWM in terms of the e, , and with state-of-the-art image dehazing methods for 5 images (values in bold format indicate the best performances).

TechniquesGateTowerYos1Yos2Bridge
eeeee

Yuan and Huang [26]8.220.031.887.150.042.8810.530.102.058.010.022.089.630.053.15
Ren et al. [31]4.520.561.625.310.751.827.210.321.595.830.111.994.180.102.31
Cai et al. [16]3.780.591.635.170.831.796.980.291.685.290.402.074.570.372.26
Berman et al. [32]2.371.331.774.940.722.037.160.311.894.730.282.213.110.542.76
Choi et al. [33]1.933.121.985.321.521.766.430.882.153.251.102.232.571.001.89
Meng et al. [14]6.520.171.454.130.261.267.800.121.476.510.021.834.320.232.34
He et al. [7]5.810.201.424.840.171.377.660.131.336.720.021.653.220.252.16
DCPWM (proposed)8.240.042.27.640.022.9212.010.082.499.680.032.529.590.013.26