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- W3138613612 abstract "The Gabor transform can be utilized in an algorithm for compression due to its ability to allow the user to isolate high frequency information to filter. This transform can be implemented using FFT's to aid in calculating the Gabor coefficients of a particular image. In the C++ programming language, an open source library exists called FFTW that is able to perform FFT's quickly on the CPU. We sought to prove statistically the hypothetical gain that cuFFT could have computationally over FFTW when performing an FFT. cuFFT does have a bottleneck during the initial allocation of the input, output, and plan for the desired FFT, but with larger images these became less and less impactful. Image compression algorithms using the Gabor transform can benefit in reduced computational time from cuFFT's functions." @default.
- W3138613612 created "2021-03-29" @default.
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- W3138613612 date "2020-12-04" @default.
- W3138613612 modified "2023-09-24" @default.
- W3138613612 title "Accelerating the Gabor Transform with a GPU for SAR Image Compression" @default.
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- W3138613612 doi "https://doi.org/10.1145/3442705.3442708" @default.
- W3138613612 hasPublicationYear "2020" @default.
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