Open AccessJournal Article
Real FFT based on graphic processing unit for image processing
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TLDR
By analysis of general real Fast Fourier Transform(FFT)algorithm, an improved real FFT algorithm is presented based on Graphic Processing Unit (GPU) and the experiment results show that the presented algorithm is practical for image processing.Abstract:
By analysis of general real Fast Fourier Transform(FFT)algorithm,an improved real FFT algorithm is presented based on Graphic Processing Unit(GPU).A general real FFT can reduce the computation consumption of the conventional complex FFT algorithm by about 40%,and the presented real FFT algorithm improves the reduction to 50%.On the basis of the specific configuration of data storage,the presented real FFT algorithm can be applied in two directions continuously to generate the 2D Fourier spectrum,also the parallel real FFT transform can be implemented by using the 1D complex FFT function from the CUFFT library.The precision and the efficiency of the presented real FFT are inspected by Wiener filter's application,image processing results demonstrate that the presented real FFT algorithm shows operating properly and working well.With the help of the presented real FFT,Wiener filter can restore a 2 048×2 048 8-bit image by motion speed of 19.26 ms,which is 2.34 times as compared with that of the Wiener filter based on complex FFT on GPU,and is 37.46 times that of the Wiener filter based on real FFT on CPU.The experiment results show that the presented algorithm is practical for image processing.read more
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