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  • 标题:Image Processing Research Based on Fractional Fourier Transform
  • 本地全文:下载
  • 作者:Wenjuan Zeng ; Haibo Gao
  • 期刊名称:Journal of Software Engineering
  • 印刷版ISSN:1819-4311
  • 电子版ISSN:2152-0941
  • 出版年度:2015
  • 卷号:9
  • 期号:2
  • 页码:318-327
  • DOI:10.3923/jse.2015.318.327
  • 出版社:Academic Journals Inc., USA
  • 摘要:As a generalization of Fourier transform, the Fractional Fourier Transform (FRFT) contains simultaneity the time-frequency information of the signal and is considered a new tool for time-frequency analysis. By way of simulation, this study analyses the energy distribution, the characteristic of the amplitude and phase in Fractional Fourier domain of an image. The present simulation results show that the FRFT can represent the time-frequency characteristic of an image and the distribution changes with the variety of the fractional powers. Moreover, some conclusions were also found from the reconstructed image using the amplitude and phase information of FRFT. All of the conclusions will help research how to use the FRFT in the area of image recognition and image edge extraction.
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