Noise mitigation and extraction of scatters in acoustic imaging by compressed sensing

In order to maintain the theoretical limit of resolution in acoustic imaging for noisy data gathered in a material examination application we propose the application of compressed sensing (CS) on the reconstructed image. CS will mitigate the effects of noise in the reconstruction process and enable the extraction of location and estimated size of scatters to enhance the initial velocity model.