A review on sparse fast fourier transform applications in image processing
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 applicatio...
محفوظ في:
المؤلفون الرئيسيون: | , , , , |
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التنسيق: | مقال |
اللغة: | English |
منشور في: |
Institute of Advanced Engineering and Science
2020
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الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/86390/1/HadhramiAbGhani2020_AReviewonSparseFastFourierTransform.pdf http://eprints.utm.my/id/eprint/86390/ https://dx.doi.org/10.11591/ijece.v10i2.pp1346-1351 |
الوسوم: |
إضافة وسم
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المؤسسة: | Universiti Teknologi Malaysia |
اللغة: | English |
الملخص: | 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. |
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