A new hyperspectral images (HSIs) denoising method via Interpolated Block-Matching and 3D filtering and Guided Filtering (IBM3DGF) denoising method is proposed. First, inter-spectral correlation analysis is used to obtain inter-spectral correlation coefficients and divide the HSIs into several adjacent groups. Second, high-resolution HSIs are produced by using adjacent three images to interpolate. Third, Block-Matching and 3D filtering (BM3D) is conducted to reduce the noise level of each group; Fourth, the guided image filtering is utilized to denoise HSI of each group. Finally, the inverse interpolation is applied to retrieve HSI. Experimental results of synthetic and real HSIs showed that, comparing with other state-of-the-art denoising methods, the proposed IBM3DGF method shows superior performance according to spatial and spectral domain noise assessment. Therefore, the proposed method has a potential to effectively remove the spatial/spectral noise for HSIs.

中文翻译：

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通过内插块匹配3D和引导滤波器的一种新的HSI去噪方法

提出了一种新的高光谱图像（HSI）去噪方法，通过插值块匹配和3D滤波和引导滤波（IBM3DGF）去噪方法。首先，通过谱间相关分析得到谱间相关系数，并将HSI划分为相邻的几个组。其次，通过使用相邻的三个图像进行插值来产生高分辨率的 HSI。第三，进行块匹配和3D过滤（BM3D）以降低每组的噪声水平；第四，利用引导图像滤波对每组的HSI进行去噪。最后，逆插值用于检索 HSI。合成和真实 HSI 的实验结果表明，与其他最先进的去噪方法相比，根据空间和谱域噪声评估，建议的 IBM3DGF 方法显示出优越的性能。因此，所提出的方法有可能有效去除 HSI 的空间/光谱噪声。