2017/02/16 by Miqueles, Eduardo X., Archilha, Nathaly L., Anjos, Marcelo R. Dos +2
#FOS: Mathematics #Numerical Analysis (math.NA)
paper · doi:10.48550/arxiv.1702.05092
It was recently shown that the phase retrieval imaging of a sample can be modeled as a simple convolution process. Sometimes, such a convolution depends on physical parameters of the sample which are difficult to estimate a priori. In this case, a blind choice for those parameters usually lead to wrong results, e.g., in posterior image segmentation processing. In this manuscript, we propose a simple connection between phase-retrieval algorithms and optimization strategies, which lead us to ways of numerically determining the physical parameters