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Application of Wedgelet Transform for Image Process

机译:Wedgelet变换在图像处理中的应用

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摘要

Wavelets transform have been extended to image process and achieve a lot of good results in the field. However, it is of congenital defects. So many new methods are generated based on it. Wedgelet transform is a better method among them. Wedgelet transform is a kind of multi-resolution method which can represent anisotropy of image. We induce the theory of wedgelet transform, in this paper, and apply the theory to image enhancement. The experimental results show that the wedgelet is more suitable to represent the linear feature than wavelets.
机译:小波变换已经扩展到图像过程,并在该领域实现了很多好的结果。但是,它是先天性缺陷。基于它生成了许多新方法。 Wedgele变换是其中的更好方法。 Wedgelet变换是一种可以代表图像各向异性的多分辨率方法。我们在本文中诱导楔形变换的理论,并将理论应用于图像增强。实验结果表明,楔形更适合于表示线性特征而不是小波。

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