Content adaptive sparse illumination for Fourier ptychography

TL;DR

This paper introduces AFP, a content adaptive sparse illumination method for Fourier ptychography that significantly reduces acquisition time by capturing only the most informative spectral parts, validated through simulations and experiments.

Contribution

The paper proposes a novel content adaptive sparse illumination technique for Fourier ptychography, improving efficiency by reducing capture time while maintaining image quality.

Findings

Shortened acquisition time by 30-60%.

Validated effectiveness through simulations and real experiments.

Utilized sparsity in natural images for efficient imaging.

Abstract

Fourier Ptychography (FP) is a recently proposed technique for large field of view and high resolution imaging. Specifically, FP captures a set of low resolution images under angularly varying illuminations and stitches them together in Fourier domain. One of FP's main disadvantages is its long capturing process due to the requisite large number of incident illumination angles. In this letter, utilizing the sparsity of natural images in Fourier domain, we propose a highly efficient method termed as AFP, which applies content adaptive sparse illumination for Fourier ptychography by capturing the most informative parts of the scene's spatial spectrum. We validate the effectiveness and efficiency of the reported framework with both simulations and real experiments. Results show that the proposed AFP could shorten the acquisition time of conventional FP by around 30%-60%.