Super-resolution far-field ghost imaging via compressive sampling

Abstract

Much more image details can be resolved by improving the system's imaging resolution and enhancing the resolution beyond the system's Rayleigh diffraction limit is generally called super-resolution. By combining the sparse prior property of images with the ghost imaging method, we demonstrated experimentally that super-resolution imaging can be nonlocally achieved in the far field even without looking at the object. Physical explanation of super-resolution ghost imaging via compressive sampling and its potential applications are also discussed.

4pages,4figures

References in corpus (5)

• Compressive ghost imaging
• Correlated imaging, quantum and classical
• Ghost imaging lidar via sparsity constraints
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• Nonlocal imaging by conditional averaging of random reference measurements

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• SPI-GAN: Towards Single-Pixel Imaging through Generative Adversarial Network
• Simple and efficient way to generate superbunching pseudothermal light
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• Deep learning based high-resolution incoherent x-ray imaging with a single-pixel detector
• Interferometry-based modal analysis with finite aperture effects
• On the possibility of a considerable quality improvement of a quantum ghost image by sensing in the object arm