A review on sparse fast fourier transform applications in image processing


Ab. Ghani, Hadhrami and Abdul Malek, Mohamad Razwan and Kamarul Azmi, Muhammad Fadzli and Muril, Muhammad Jefri and Azizan, Azizul (2020) A review on sparse fast fourier transform applications in image processing. International Journal of Electrical and Computer Engineering, 10 (2). pp. 1346-1351. ISSN 2088-8708

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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.

Item Type: Article
Uncontrolled Keywords: Image processing, Applications, Computational complexity, Fourier transform
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 16 Dec 2020 13:55
Last Modified: 21 Dec 2022 06:00
URII: http://shdl.mmu.edu.my/id/eprint/7964


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