Analysis of the Principle and Applications of Sharping and Smoothing of Graphs Based on Fourier Transform
DOI:
https://doi.org/10.54097/8vnfan57Keywords:
Fourier transform; image processing; image sharping and smoothing; filter.Abstract
As a matter of fact, Fourier transform is regarded as one of the most fundamental tools in image processing in recent years, which has been implemented in various applications including signal processing, acoustic generation and filtering as well as image processing. With this in mind, in this article, the principle of this transformation is introduced and discussed. At the same time, some related filter techniques is introduced to transform the image space into frequency space. The specific process of four different filters is shown in this study when applied in smoothing or sharping the graph. To demonstrate the significance of this technology, many real-world applications will be presented in the mean time. According to the analysis, the current limitations as well as future prospects are demonstrated. As the demand for digital image processing in various domains such as medical, telecommunication, and environment, the requirement for the Fourier transform has increased.
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