Edge-Directed Enhancement Based on the Generalized Radial Hilbert Transform

Ling Guo, Jinsong Li, Tongtong Lu, Ying Fang
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Abstract

Edge enhancement is a key part of image processing in order to sharpen the edge and optimize the visual quality of the input image. This paper proposes novel edge-directed enhancement spatial phase filters based on the generalized radial Hilbert transform theory. The simulated results showed that the proposed spatial phase filters are more efficient and flexible for edge-directed enhancement than conventional mathematical morphological edge enhancement algorithms.
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基于广义径向Hilbert变换的边缘定向增强
边缘增强是图像处理中的一个关键环节,其目的是锐化输入图像的边缘,优化输入图像的视觉质量。基于广义径向希尔伯特变换理论,提出了一种新的边缘增强空间相位滤波器。仿真结果表明,与传统的数学形态学边缘增强算法相比,所提出的空间相位滤波器对边缘定向增强具有更高的效率和灵活性。
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