Abstract and Applied Analysis / 2013 / Article / Tab 1

Research Article

New Regularization Models for Image Denoising with a Spatially Dependent Regularization Parameter

Table 1

Summarized results of the comparative experiment.

Figure 2(a)Figure 2(b)Figure 2(c)Figure 2(d)

ReErr
 Noisy image0.10640.18470.19130.1643
 ROF model0.05220.12790.07840.0925
 LLT model0.06330.12730.08070.0894
 Hybrid model0.05090.12240.07580.0879
 Model 10.03610.11510.07510.0842
 Model 20.02980.11320.07290.0827

SNR
 Noisy image9.006.435.496.42
 ROF model15.199.6213.2411.41
 LLT model13.519.6612.9911.71
 Hybrid model15.4110.0013.5311.85
 Model 118.3910.5313.6112.23
 Model 220.0610.6813.8712.38

Time
 ROF model0.281.221.261.05
 LLT model1.334.631.733.06
 Hybrid model2.238.444.485.46
 Model 12.876.365.184.65
 Model 22.509.635.936.08

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