Abstract

We achieve the reconstruction of a high-resolution object from multiple blurred, noisy, and shifted low-resolution images using the likelihood-based 2D4 algorithm. We demonstrate the performance benefits of 2D4 over a non-linear and optimal linear method.

© 2005 Optical Society of America

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