Super-resolution ghost imaging via compressive sampling reconstruction

2009/10/26 by Wenlin Gong, Shensheng Han, Gong, Wenlin +1 · 1 citation
Engineering · Physics and Astronomy · #Advanced Optical Imaging Technologies #Orbital Angular Momentum in Optics #Random lasers and scattering media #quant-ph

paper · pdf · doi:10.48550/arxiv.0910.4823

4pages,3figures

arxiv created 2009/10/26 · arxiv updated 2009/12/01

Abstract

For ghost imaging, pursuing high resolution images and short acquisition times required for reconstructing images are always two main goals. We report an image reconstruction algorithm called compressive sampling (CS) reconstruction to recover ghost images. By CS reconstruction, ghost imaging with both super-resolution and a good signal-to-noise ratio can be obtained via short acquisition times. Both effect influencing and approaches further improving the resolution of ghost images via CS reconstruction, relationship between ghost imaging and CS theory are also discussed.

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• Single frame wide-field Nanoscopy based on Ghost Imaging via Sparsity Constraints (GISC Nanoscopy)

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