Research Article
Digital Path Approach Despeckle Filter for Ultrasound Imaging and Video
Table 1
Comparison of the efficiency of the proposed filter and competitive methods using the PSNR and MSSIM quality measure on the static images.
| File noise (σ2) | Goldhill | Boats | Phantom | Fetus | 0.2 | 0.4 | 0.6 | 0.2 | 0.4 | 0.6 | 0.2 | 0.4 | 0.6 |
| PSNR results (dB) | Noisy | 31.52 | 19.69 | 13.25 | 30.65 | 18.75 | 12.62 | 35.05 | 23.03 | 16.48 | 22.46 | Wiener | 30.76 | 27.09 | 22.24 | 31.01 | 26.69 | 21.90 | 37.36 | 28.57 | 21.19 | 24.73 | SRAD | 30.73 | 27.26 | 23.69 | 32.06 | 26.96 | 23.98 | 42.52 | 30.82 | 24.14 | 18.62 | NLM | 34.06 | 27.35 | 16.49 | 35.40 | 27.68 | 15.54 | 43.07 | 30.31 | 20.15 | 27.27 | OBNLM | 30.87 | 28.24 | 24.43 | 32.61 | 28.06 | 24.13 | 38.64 | 30.34 | 23.76 | 18.78 | PNLM | 34.20 | 27.18 | 22.75 | 34.52 | 27.34 | 22.13 | 42.21 | 30.43 | 23.00 | 26.77 | PPBF | 32.80 | 27.11 | 18.56 | 32.64 | 26.91 | 20.00 | 37.01 | 29.50 | 21.15 | 25.93 | DPAlast | 32.83 | 27.77 | 24.96 | 32.61 | 27.10 | 24.20 | 44.98 | 34.65 | 26.63 | 26.69 | EPF2D | 33.63 | 27.98 | 25.24 | 33.48 | 27.49 | 24.21 | 48.57 | 37.60 | 27.32 | 27.34 | MSSIM results | Noisy | 0.83 | 0.32 | 0.11 | 0.75 | 0.30 | 0.13 | 0.86 | 0.57 | 0.47 | 0.39 | Wiener | 0.77 | 0.64 | 0.43 | 0.84 | 0.67 | 0.43 | 0.98 | 0.91 | 0.67 | 0.66 | SRAD | 0.88 | 0.67 | 0.54 | 0.92 | 0.72 | 0.65 | 0.99 | 0.96 | 0.89 | 0.86 | NLM | 0.88 | 0.65 | 0.20 | 0.93 | 0.69 | 0.25 | 0.99 | 0.95 | 0.56 | 0.90 | OBNLM | 0.90 | 0.69 | 0.56 | 0.93 | 0.69 | 0.63 | 1.00 | 0.93 | 0.79 | 0.84 | PNLM | 0.90 | 0.64 | 0.42 | 0.92 | 0.67 | 0.39 | 0.98 | 0.91 | 0.80 | 0.76 | PPBF | 0.86 | 0.69 | 0.35 | 0.88 | 0.74 | 0.53 | 0.95 | 0.89 | 0.68 | 0.87 | DPAlast | 0.87 | 0.69 | 0.59 | 0.89 | 0.73 | 0.59 | 0.99 | 0.95 | 0.88 | 0.85 | EPF2D | 0.90 | 0.70 | 0.59 | 0.90 | 0.74 | 0.61 | 1.00 | 0.95 | 0.93 | 0.90 |
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