Paper
12 March 2015 Image restoration from a sequence of random masks
Author Affiliations +
Proceedings Volume 9401, Computational Imaging XIII; 94010D (2015) https://doi.org/10.1117/12.2086419
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
Abstract
We experimentally explored the reconstruction of the image of two point sources using a sequence of random aperture phase masks. The speckled intensity profiles were combined using an improved shift-and-add and multi-frame blind deconvolution to achieve a near diffraction limited image for broadband light (600-670 nm). Using a numerical model we also explored various algorithms in the presence of noise and phase aberration.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaopeng Peng, Garreth J. Ruane, Alexandra B. Artusio-Glimpse, and Grover A. Swartzlander Jr. "Image restoration from a sequence of random masks", Proc. SPIE 9401, Computational Imaging XIII, 94010D (12 March 2015); https://doi.org/10.1117/12.2086419
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KEYWORDS
Signal to noise ratio

Image restoration

Model-based design

Speckle

Stars

Deconvolution

Point spread functions

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