Paper Info
Title
Simple Accurate Model-Based Phase Diversity Phase Retrieval Algorithm For Wavefront Sensing In High-Resolution Optical Imaging Systems
Abstract
In optical imaging systems, the aberration is an important factor that impedes realising diffraction-limited imaging. Accurate wavefront sensing and control play important role in modern high-resolution optical imaging systems nowadays. In this study, a simple model-based phase retrieval algorithm is proposed for accurate efficient wavefront sensing with high dynamic range. In the authors' algorithm, a wavefront is represented by the Zernike polynomials, and the Zernike coefficients are solved by the least-squares-based non-linear optimisation method, i.e. the Lederberg-Marquardt algorithm, with multiple phase-diversity images. The numerical results show that the proposed algorithm is capable of retrieving wavefront with a large dynamic range up to seven wavelength and robust to noise. In comparison, the proposed algorithm is more efficient than the existing model-based technique and more accurate than existing Fourier - transformation-based iterative techniques.
Year
DOI
Venue
2020
10.1049/iet-ipr.2020.1075
IET IMAGE PROCESSING
Keywords
DocType
Volume
optical images, wavefront sensors, aberrations, least squares approximations, Zernike polynomials, nonlinear programming, light diffraction, image resolution, high-resolution optical imaging systems, high dynamic range, least-squares-based nonlinear optimisation method, multiple phase-diversity images, model-based phase diversity phase retrieval algorithm, diffraction-limited imaging, wavefront sensing, Lederberg-Marquardt algorithm, aberration, Zernike polynomials, Zernike coefficients
Journal
14
Issue
ISSN
Citations 
17
1751-9659
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Shun Qin100.34
Zhang Y245950.31
Wang H37129.35
Wai Kin Chan400.68