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This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering
Muhammad Fadzli Kamarul Azmi
Multimedia University
Computer Science & IT Electrical & Electronics Engineering

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A review on sparse fast fourier transform applications in image processing Hadhrami Ab Ghani; Mohamad Razwan Abdul Malek; Muhammad Fadzli Kamarul Azmi; Muhammad Jefri Muril; Azizul Azizan
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (358.187 KB) | DOI: 10.11591/ijece.v10i2.pp1346-1351

Abstract

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.
Co-Authors Azizul Azizan Hadhrami Ab Ghani Mohamad Razwan Abdul Malek Muhammad Jefri Muril