Research on the fast Fourier transform of image based on GPU

نویسندگان

  • Feifei Shen
  • Zhenjian Song
  • Congrui Wu
  • Jiaqi Geng
  • Qingyun Wang
چکیده

Study of general purpose computation by GPU (Graphics Processing Unit) can improve the image processing capability of micro-computer system. This paper studies the parallelism of the different stages of decimation in time radix 2 FFT algorithm, designs the butterfly and scramble kernels and implements 2D FFT on GPU. The experiment result demonstrates the validity and advantage over general CPU, especially in the condition of large input size. The approach can also be generalized to other transforms alike.

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عنوان ژورنال:
  • CoRR

دوره abs/1505.08019  شماره 

صفحات  -

تاریخ انتشار 2015