no code implementations • 16 Jun 2023 • Albert W. Reed, Juhyeon Kim, Thomas Blanford, Adithya Pediredla, Daniel C. Brown, Suren Jayasuriya
However, image formation is typically under-constrained due to a limited number of measurements and bandlimited hardware, which limits the capabilities of existing reconstruction methods.
1 code implementation • 21 Apr 2022 • Albert Reed, Thomas Blanford, Daniel C. Brown, Suren Jayasuriya
In theory, deconvolution overcomes bandwidth limitations by reversing the PSF-induced blur and recovering the scene's scattering distribution.
no code implementations • 16 Dec 2021 • Albert Reed, Thomas Blanford, Daniel C. Brown, Suren Jayasuriya
This work is an important first step towards applying neural networks for SAS image deconvolution.