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- W2891138592 abstract "In this study, we propose a novel algorithm for compressive imaging using digital micromirror device (DMD) modulated focal plane array (FPA) data. In this setting, DMD modulates the scene in the image domain by blocking some of the pixels at a higher resolution level. For reconstruction, a regularized optimization problem is solved, whereas reconstruction time is crucial for a practical compressive sensing application. Here, we propose an augmented Lagrangian based method that employs sparsity in both Fourier and gradient spaces, where we apply a separate proximal mapping for each snapshot. We demonstrate the performance of the algorithm via comparison to the state-of-the-art. The proposed method yields higher pSNR at shorter convergence times, especially at higher compression ratios." @default.
- W2891138592 created "2018-09-27" @default.
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- W2891138592 date "2018-10-01" @default.
- W2891138592 modified "2023-09-30" @default.
- W2891138592 title "A Matrix-Free Reconstruction Method for Compressive Focal Plane Array Imaging" @default.
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- W2891138592 doi "https://doi.org/10.1109/icip.2018.8451675" @default.
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