Research Article
An Efficient Universal Noise Removal Algorithm Combining Spatial Gradient and Impulse Statistic
Table 1
Comparison of noise detectors in CR.
| Noise ratio | ROAD | ROLD | RORD | DARD |
| Salt-and-pepper noise | 10% | 99.48% | 99.37% | 99.77% | 99.87% | 20% | 98.75% | 98.63% | 99.44% | 99.73% | 30% | 97.15% | 96.74% | 98.53% | 99.58% | 40% | 93.21% | 92.65% | 95.86% | 99.16% | 50% | 83.58% | 83.75% | 86.01% | 98.89% |
| Random-valued impulse noise | 10% | 97.25% | 97.38% | 97.71% | 97.56% | 20% | 94.59% | 94.83% | 95.68% | 95.57% | 30% | 92.54% | 92.88% | 93.71% | 93.54% | 40% | 90.62% | 91.04% | 91.75% | 91.53% | 50% | 88.77% | 89.31% | 89.37% | 88.87% |
| Mixed impulse noise | 10% | 97.26% | 97.40% | 97.87% | 97.57% | 20% | 94.51% | 94.77% | 95.65% | 95.50% | 30% | 92.06% | 92.47% | 93.48% | 93.36% | 40% | 89.51% | 90.11% | 90.81% | 90.77% | 50% | 86.53% | 87.52% | 87.21% | 87.28% |
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