The competition between resolution and the imaging field of view is a long-standing problem
in traditional imaging systems—they can produce either an image of a small area with fine …

Phase recovery (PR) refers to calculating the phase of the light field from its intensity
measurements. As exemplified from quantitative phase imaging and coherent diffraction …

Deep convolutional networks have become a popular tool for image generation and
restoration. Generally, their excellent performance is imputed to their ability to learn realistic …

Traditional imaging systems exhibit a well-known trade-off between the resolution and the
field of view of their captured images. Typical cameras and microscopes can either “zoom in” …

Ptychography is an enabling microscopy technique for both fundamental and applied
sciences. In the past decade, it has become an indispensable imaging tool in most X-ray …

Phase retrieval algorithms have become an important component in many modern
computational imaging systems. For instance, in the context of ptychography and speckle …

Lensless imaging has emerged as a potential solution towards realizing ultra-miniature
cameras by eschewing the bulky lens in a traditional camera. Without a focusing lens, the …

Low signal-to-noise ratio (SNR) measurements, primarily due to the quartic attenuation of
intensity with distance, are arguably the fundamental barrier to real-time, high-resolution …

In recent years, advancements in machine learning (ML) techniques, in particular, deep
learning (DL) methods have gained a lot of momentum in solving inverse imaging problems …

In this Letter, we report a new long-range synthetic aperture Fourier ptychographic imaging
technique, termed learning-based single-shot synthetic aperture imaging (LSS-SAI). LSS …