Numerical Simulations And Reconstruction of Small Particle Scattering

This work investigates a holographic imaging approach combined with a compressive signal reconstruction framework to localize small particles on planar substrate using FDTD simulation technique. Holography naturally spread out the very weak scattering signal and compressive sensing technique eliminates noises, which helps to give back a clean reconstruction of the position of that particle. The reliability and accuracy of using holography and compressive sensing is also investigated by running simulation with different levels of denoising intensity and various amount of noise.

Disi A obtained his Master's degree in Massachusetts Institute of Technlogy in U.S. He is now a professional software engineer, focusing on front-end software development and data analytics. At the same time, he remains interested in image signal processing techniques and data science.