Abstract
It is of great significance to realize the imaging of the target behind the scattering medium, which is often limited by the optical memory effect range. In this paper, a non-invasive super-memory effect scattering imaging method based on adaptive β-parameter hybrid input-output (APHIO) algorithm-assisted point spread function (PSF) estimation is proposed. An iterative algorithm APHIO is designed to use the speckle autocorrelation region to constrain the iterative region and optimize the value of the parameter β in the traditional HIO algorithm. Besides, the estimated PSF of the imaging system is combined with a new scanning method to better reconstruct the target object with super-memory effect range. The results show that the APHIO algorithm has the characteristics of faster convergence and more stable reconstruction quality than the traditional HIO algorithm. The overall imaging framework has a good performance in the reconstruction efficiency of the target with super-memory effect range.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
