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文章基本信息

  • 标题:A review on sparse fast fourier transform applications in image processing
  • 本地全文:下载
  • 作者:Hadhrami Ab Ghani ; Mohamad Razwan Abdul Malek ; Muhammad Fadzli Kamarul Azmi
  • 期刊名称:International Journal of Electrical and Computer Engineering
  • 电子版ISSN:2088-8708
  • 出版年度:2020
  • 卷号:10
  • 期号:2
  • 页码:1346-1351
  • DOI:10.11591/ijece.v10i2.pp1346-1351
  • 出版社:Institute of Advanced Engineering and Science (IAES)
  • 摘要:Fast Fourier Transform has long been established as an essential tool in signal processing. To address the computational issues while helping the analysis work for multi-dimensional signals in image processing, sparse Fast Fourier Transform model is reviewed here when applied in different applications such as lithography optimization, cancer detection, evolutionary arts and wasterwater treatment. As the demand for higher dimensional signals in various applications especially multimedia appplications, the need for sparse Fast Fourier Transform grows higher.
  • 关键词:applications;computational complexity;fourier transform;image processing;
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