Application of a previously developed PCA-based expectation maximization algorithm to experimental data is made possible through an interpolated PCA approach. Simulated and experimental results confirm achieved accuracy in image restoration of thick samples.
© 2014 Optical Society of America
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
Login to access OSA Member Subscription