In this paper, a reconstruction algorithm is proposed to solve the need for oversampling low-resolution images, and it is successfully applied ...
In this paper, a reconstruction algorithm is proposed to solve the need for oversampling low-resolution images, and it is successfully applied to macroscopic ...
Oct 22, 2024 · In this paper, a reconstruction algorithm is proposed to solve the need for oversampling low-resolution images, and it is successfully applied ...
We then use a novel technique called CoPRAM with some modifications, to recover sparse (and block sparse) images from subsampled pty- chographic measurements.
In this paper, we design and validate a series of sample- efficient algorithms for sub-diffraction imaging using the. Fourier ptychography framework that ...
Long-Distance Sub-Diffraction High-Resolution Imaging Using Sparse Sampling. Sensors 2020, 20, 3116. https://doi.org/10.3390/s20113116. AMA Style. Wang D, Fu ...
Long-Distance Sub-Diffraction High-Resolution Imaging Using Sparse Sampling ... of speckle and improve perceptual quality of the recovered high-resolution image.
Oct 22, 2024 · In this work, we propose using camera arrays coupled with coherent illumination as an effective method of improving spatial resolution in ...
Abstract—In this work, we propose using camera arrays coupled with coherent illumination as an effective method of improving spatial resolution in long ...
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Our work shows the potential for single-shot imaging by using a camera array instead of aperture scanning mentioned in previously published works, so that the ...