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A Hypergraph-Cut Based Denoising Algorithm for ICCD image

机译：基于超图截图的ICCD图像去噪算法

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ICCD image is captured in extremely low-light conditions by ICCD camera. It often contains spatially clustered noise, thus, general filtering methods do not work well. We present a denoising algorithm to remove the noise in the ICCD image. First, we over-segment the ICCD image into flat patches. Second, we classify the patches into noisy patches and noise-free patches based on hypergraph cut method. Then the noise-free patches are recovered by the general BM3D, since they do not contain clustered noise. The noisy patches are recovered by diminishing identified clustered noise from the noisy patches. After that, we could get the recovered ICCD image. Experiments are conducted on a set of ICCD images, which shows that the proposed algorithm remove the randomly clustered noise and preserve the textural information in the ICCD images.
机译：ICCD图像通过ICCD摄像机在极低的条件下捕获。它通常包含空间聚类的噪声，因此，一般过滤方法不起作用。我们介绍了一种去噪算法，用于消除ICCD图像中的噪声。首先，我们将ICCD图像过分分段为扁平补丁。其次，我们将修补程序分类为基于超图切割方法的嘈杂补丁和无噪声斑块。然后通过BM3D恢复无噪声斑块，因为它们不包含集群噪声。通过从嘈杂的斑块中减少识别的集群噪声来恢复嘈杂的斑块。之后，我们可以获得恢复的ICCD图像。实验在一组ICCD图像上进行，这表明所提出的算法去除随机聚类的噪声并保留ICCD图像中的纹理信息。

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