Whale Optimization Algorithm-Based Parallel Computing for Accelerating Misalignment Estimation of Reflective Fourier Ptychography Microscopy

Optimization of Agricultural BMPs Using a Parallel Computing Based Multi-Objective Optimization Algorithm

Beneficial Management Practices (BMPs) are important measures for reducing agricultural non-point source (NPS) pollution. However, selection of BMPs for placement in a watershed requires optimizing available resources to maximize possible water quality benefits. Due to its iterative nature, the optimization typically takes a long time to achieve the BMP trade-off results which is not desirable ...

optimization of agricultural bmps using a parallel computing based multi-objective optimization algorithm

beneficial management practices (bmps) are important measures for reducing agricultural non-point source (nps) pollution. however, selection of bmps for placement in a watershed requires optimizing available resources to maximize possible water quality benefits. due to its iterative nature, the optimization typically takes a long time to achieve the bmp trade-off results which is not desirable ...

REFLECTIVE MODE FOURIER PTYCHOGRAPHY by Basel Salahieh Committee Members

Fast and robust misalignment correction of Fourier ptychographic microscopy

Fourier ptychographic microscopy (FPM) is a newly developed computational imaging technique that can provide gigapixel images with both high resolution (HR) and wide field of view (FOV). However, the position misalignment of the LED array induces a degradation of the reconstructed image, especially in the regions away from the optical axis. In this paper, we propose a robust and fast method to ...

Low Rank Fourier Ptychography

In this paper, we introduce a principled algorithmic approach for Fourier ptychographic imaging of dynamic, time-varying targets. To the best of our knowledge, this setting has not been explicitly addressed in the ptychography literature. We argue that such a setting is very natural, and that our methods provide an important first step towards helping reduce the sample complexity (and hence acq...