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A noise adaptive fuzzy equalization method for processing solar extreme ultraviolet images

机译:一种用于加工太阳能极端紫外图像的噪声自适应模糊均衡方法

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摘要

A new image enhancement tool ideally suited for the visualization of fine structures in extreme ultraviolet images of the corona is presented in this paper. The Noise Adaptive Fuzzy Equalization method is particularly suited for the exceptionally high dynamic range images from the Atmospheric Imaging Assembly instrument on the Solar Dynamics Observatory. This method produces artifact-free images and gives significantly better results than methods based on convolution or Fourier transform which are often used for that purpose.
机译:本文介绍了一种新的图像增强工具,非常适合于电晕的极端紫外图像中的细结构的可视化。 噪声自适应模糊均衡方法特别适用于来自太阳能动力学天文台的大气成像组件仪器的异常高动态范围图像。 该方法产生无伪影图像,并提供比基于卷积或傅里叶变换的方法更好的结果,这些方法通常用于该目的。

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