Paper
7 July 2008 Autonomous high dynamic range phase unwrapping
Author Affiliations +
Abstract
Image based wavefront sensing methods such as Adaptive Modified Gerchberg-Saxton Phase Retrieval1 (MGS) require a matrix of a-priori phase knowledge to avoid high dynamic range "phase wrapping" during estimation. Previous unwrapping methods have met with limited success or have required some degree of expert intervention. We have succeeded in developing a method and algorithm for automatically unwrapping the phase estimate to generate "prior phase knowledge". By utilizing first-round wavefront sensing results and image processing techniques, the algorithm is able to create sufficient a-priori phase information to feed back to the phase retrieval software. The autonomous phase unwrapping algorithm utilizes edge detection, morphological processing, and spatial filtering, and is able to perform well on a variety of phase wrapping anomalies for both monolithic and segmented optical systems.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Siddarayappa Bikkannavar "Autonomous high dynamic range phase unwrapping", Proc. SPIE 7017, Modeling, Systems Engineering, and Project Management for Astronomy III, 70171W (7 July 2008); https://doi.org/10.1117/12.790465
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KEYWORDS
Image segmentation

Edge detection

Image processing

Wavefront sensors

High dynamic range imaging

Magnesium

Algorithm development

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