多特征准则融合的遥感图像脉冲噪声的识别处理
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马晓剑, 赵法舜, 刘艳宾
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Multi-feature fusion-based recognition and processing of impulse noise in remote sensing images
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MA Xiaojian, ZHAO Fashun, LIU Yanbin
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表1 不同算法的AR与SSIM
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Tab.1 AR and SSIM of different algorithms
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噪声 密度/% | ASMF-DBMR | IBDND | 本文算法 | | /% | | /% | | /% | 10 | 0.980 | 99.61 | 0.981 | 99.43 | 0.981 | 99.65 | 20 | 0.958 | 99.59 | 0.930 | 99.38 | 0.960 | 99.33 | 30 | 0.932 | 99.57 | 0.784 | 99.20 | 0.926 | 99.38 | 40 | 0.899 | 99.52 | 0.548 | 98.48 | 0.896 | 99.48 | 50 | 0.863 | 99.51 | 0.315 | 96.93 | 0.851 | 99.62 | 60 | 0.817 | 99.48 | 0.166 | 94.12 | 0.804 | 99.76 | 70 | 0.750 | 99.59 | 0.089 | 89.59 | 0.756 | 99.76 | 80 | 0.655 | 99.62 | 0.045 | 84.14 | 0.678 | 99.73 | 90 | 0.531 | 99.82 | 0.018 | 75.81 | 0.553 | 99.84 |
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