基于统计多分辨率准则的局部自适应图像去噪
Locally adaptive image denoising by a statistical multiresolution criterion
摘要：
我们演示了如何选择平滑参数在图像去噪的统计多分辨率标准，全球和本地。以非齐次扩散和全变分正则化为例，提出了一种有效的局部自适应图像去噪方法。正如预期的那样，平滑参数在这个框架中充当边缘检测器。数值例子说明了我们的方法的实用性。我们还提出了一个共聚焦显微镜的应用。
英文摘要：
We demonstrate how one can choose the smoothing parameter in image denoising by a statistical multiresolution criterion, both globally and locally. Using inhomogeneous diffusion and total variation regularization as examples for localized regularization schemes, we present an efficient method for locally adaptive image denoising. As expected, the smoothing parameter serves as an edge detector in this framework. Numerical examples illustrate the usefulness of our approach. We also present an application in confocal microscopy.
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