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摘要: BM3D（block matching and 3D filtering）是一种有效的高斯噪声去除方法，但对遥感影像中常含有的高斯和脉冲混合噪声去除效果具有局限性；而集成方法是去除混合噪声的有效方式。针对BM3D去噪的缺点，结合其去噪优势，研究发展了一种集成BM3D方法，并改进了一种噪声量估算方法M-Liu法，用于先验噪声估算，作为算法的输入参数。算法验证结果表明，集成BM3D法具有较好的去噪特性，能兼顾影像噪声去除和细节信号的保留，优于同类方法，可为图像去噪提供一种新的方法，对于遥感影像后期应用性研究具有一定的意义。Abstract: BM3D (block matching and 3D filtering) method is an effective Gaussian noise removing method, but it shows limitation when removing Gaussian and impulse mixed noise in remote sensing images. The integrated method is a more effective way to remove mixed noise. In order to make full use of the advantages of BM3D method, an improved integration method (integrated BM3D method) has been developed. And a modified method M-Liu method is raised and used for estimating the priori noise level as an input parameter for the integrated BM3D method. According to algorithm validation, this paper draws the conclusion that the integrated BM3D method, taking the removal of image noise and the retention of detail signals into account, has good denoising performance. The method can be used to provide a new method for image denoising, and it is useful for the later application of remote sensing image.
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Keywords:
- integrated BM3D method /
- mixture noise /
- denoising /
- remote sensing image
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图 3 估算噪声标准差偏差变化趋势及Liu法改进方式
Figure 3. Tendency of the Estimated Gaussian Noise Level and Modifying Method Proposed by Liu
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图 4 使用不同方法的Peppers图像去噪结果
Figure 4. Denoising Result of Noisy Peppers Image Using Different Methods
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图 6 集成BM3D法对不同混合噪声去除结果
Figure 6. Result of Denoising of Different Mixture Noise Contaminated Image by Assemble BM3D
表 1 Lena和Peppers图像去噪质量评价指标
Table 1 Quality Parameters of Lena and Peppers Images Denoising
方法 Lena图像 Peppers图像 0.01/0.000 5 0.05/0.001 0.01/0.000 5 0.05/0.001 PSNR MSE PSNR MSE PSNR MSE PSNR MSE BM3D 35.66 17.67 32.57 36.02 35.07 20.25 31.61 44.89 WMW 33.16 31.42 31.28 48.41 33.22 30.99 30.83 53.71 K-SVD 34.99 20.61 31.54 45.59 34.53 22.90 31.14 50.02 KSVD-Med 34.93 20.89 31.55 45.55 34.50 23.08 31.14 50.03 BWM 33.00 32.59 30.49 58.03 33.03 32.39 30.13 63.13 MW 32.94 33.03 29.70 69.65 32.96 32.91 29.70 69.61 TV 34.50 23.10 31.44 46.68 34.42 23.50 31.36 47.57 集成BM3D 35.71 17.45 33.09 31.90 35.43 18.64 33.00 32.58 
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表 2 不同方法的QB去噪质量评价因子表
Table 2 Quality Parameters of QB Image Denoising by Different Methods
方法 0.01/0.000 5 0.02/0.001 0.05/0.001 0.1/0.01 PSNR MSE PSNR MSE PSNR MSE PSNR MSE BM3D 31.97 41.28 30.91 52.77 29.67 70.24 28.84 84.90 WMW 29.66 70.33 29.47 73.38 29.06 80.91 28.52 91.37 KSVD-Med 31.50 46.07 30.41 59.13 29.20 78.16 28.51 91.72 BWM 29.79 68.17 29.57 71.72 28.96 82.68 28.30 96.21 MW 31.01 51.48 30.34 60.18 29.37 75.10 28.75 86.79 TV 30.86 53.31 30.08 63.87 29.04 81.03 28.30 96.13 集成BM3D 32.05 40.58 31.11 50.41 30.07 63.97 29.45 73.77
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