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- W4381244708 abstract "We investigate the reconstruction of a binary image from its sparse 2D discrete Fourier transform (2D-DFT) coefficients. Specifically, we focus on the case where the image height is equal to its width and is a prime number. We derive a lower bound on the number of coefficients required for perfect image recovery and propose a reconstruction algorithm. In our experiment, we demonstrate that the lower bound can be achieved when the height is less than 20. Consequently, we can efficiently reconstruct a 19×19 binary image using only 21 out of the total 361 2D-DFT coefficients, which accounts for approximately 5.81% of the coefficients.." @default.
- W4381244708 created "2023-06-20" @default.
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- W4381244708 date "2023-06-04" @default.
- W4381244708 modified "2023-09-27" @default.
- W4381244708 title "Binary Image Fast Perfect Recovery from Sparse 2D-DFT Coefficients" @default.
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- W4381244708 doi "https://doi.org/10.1109/icassp49357.2023.10095387" @default.
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