Phase Preserving Denoising of Images
Phase Preserving Denoising of Images
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作者：
P. Kovesi
近年来，小波收缩去噪已成为图像去噪的首选方法。然而，尽管进行了大量研究，但仍然存在一些问题。应该使用现有的众多小波中的哪一个？阈值应该如何设定？以及阈值操作如何影响图像中的特征？本文探讨了这些问题，并主张使用非正交、复值、对数 Gabor 小波，而不是更常见的正交或双正交小波。复杂域中小波响应的阈值允许确保图像中感知上重要的相位信息不被破坏。它还显示了如何根据小波响应的统计自动确定适当的阈值
In recent years wavelet shrinkage denoising has become the method of choice for the denoising of images. However, despite much research a number of questions remain. Which of the many wavelets that exist should one use? How should the threshold be set? and How are features in the image affected by the thresholding operation? This paper explores these issues and argues for the use of non-orthogonal, complex valued, log-Gabor wavelets, rather than the more usual orthogonal or bi-orthogonal wavelets. Thresholding of wavelet responses in the complex domain allows one to ensure that perceptually important phase information in the image is not corrupted. It is also shown how appropriate threshold values can be determined automatically from the statistics of the wavelet responses to